[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

New mHealth hospital selection framework supporting decentralised telemedicine architecture for outpatient cardiovascular disease-based integrated techniques: Haversine-GPS and AHP-VIKOR

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

Cardiovascular diseases (CVDs) are conditions involving the heart or blood vessels which need specialised and urgent care. Centralised telemedicine is a client–server architecture fit for cardiovascular care, especially for monitoring health conditions, delivering healthcare services and providing other remote services by using mHealth. However, several challenges and unsolved issues remain, including (1) provision of healthcare services data in terms of hospital connectivity and continuous updates of all transactions occurring across distributed hospital networks for patient data, (2) lack of an accurate mHealth method to estimate time between patients with CVD and telemedicine hospitals for hospitalisation and (3) lack of investigation of important criteria for hospital evaluation. To develop a new mHealth framework for the evaluation and prioritisation of decentralised telemedicine hospitals based on integrated techniques Haversine-Global Positioning System (GPS) and analytical hierarchy process (AHP)-VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The framework can serve all health emergency levels (i.e. risk, urgent and sick) of patients with CVD. Three methodology phases were developed. First is the identification of important decentralised hospital criteria which affect hospital evaluation to create a new dataset for this context. Second is the development of a new mHealth framework phase consequent of four development sequences: new integrated distance measurement through Haversine-based on GPS for time estimation for the convenient remote interaction with hospitals, combination for new hospital datasets and development of three decision matrixes based on a crossover of (1) healthcare service packages/time of arrival of patient at the hospital criteria and (2) lists of hospitals for evaluation and prioritisation using integration AHP-VIKOR techniques. Third is the objective validation of the constructed results. In addition, the proposed framework is evaluated by using a checklist benchmarking procedure. Experimental results reveal that the new mHealth framework is effective in decentralised telemedicine architecture and verify the ability of all connected hospitals. The new integrated distance measurement technique boosts the overall methodology of hospital evaluation and supports the combination of the new hospital datasets for prioritisation configuration. The proposed mHealth framework offers healthcare services for all emergence levels of patients with CVD through the blockchain concept and decision making theory. Objective validation reveals significant differences between the scores of groups, indicating that the ranking results are valid for the three decision matrices. Evaluation results show that the proposed mHealth framework exhibits an advantage over the benchmark frameworks with a percentage of 66.67% intersection with six comparison points highlighted by the academic literature.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Abdulkareem KH, Arbaiy N, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Salih MM (2020a) A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods. Neural Comput Applic. https://doi.org/10.1007/s00521-020-05020-4

    Article  Google Scholar 

  • Abdulkareem KH, Arbaiy N, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Salih MM (2020b) A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques. Int J Inf Technol Decis Mak 1–49

  • Abdullateef BN, Elias NF, Mohamed H, Zaidan AA, Zaidan BB (2016) An evaluation and selection problems of OSS-LMS packages. SpringerPlus 5(1):248. https://doi.org/10.1186/s40064-016-1828-y

    Article  Google Scholar 

  • Abugabah A, Nizamuddin N, Alzubi AA (2020) Decentralized telemedicine framework for a smart healthcare ecosystem. IEEE Access 8:166575–166588. https://doi.org/10.1109/access.2020.3021823

    Article  Google Scholar 

  • Alaa M, Albakri ISMA, Singh CKS, Hammed H, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Salih MM, Almahdi EM, Baqer MJ, Jalood NS, Nidhal S, Shareef AH, Jasim AN (2019) Assessment and ranking framework for the English skills of pre-service teachers based on fuzzy Delphi and TOPSIS methods. IEEE Access 7:126201–126223. https://doi.org/10.1109/ACCESS.2019.2936898

    Article  Google Scholar 

  • Alamoodi AH, Garfan S, Zaidan BB, Zaidan AA, Shuwandy ML, Alaa M, Alsalem MA, Mohammed A, Aleesa AM, Albahri OS (2020a) A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Health Technol 1–17

  • Alamoodi AH, Zaidan BB, Zaidan AA, Albahri OS, Mohammed KI, Malik RQ, Almahdi EM, Chyad MA, Tareq Z, Albahri AS, Hameed H, Alaa M (2020b) Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: a systematic review. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2020.114155

    Article  Google Scholar 

  • Alao MA, Ayodele TR, Ogunjuyigbe ASO, Popoola OM (2020) Multi-criteria decision based waste to energy technology selection using entropy-weighted TOPSIS technique: the case study of Lagos, Nigeria. Energy 201:117675. https://doi.org/10.1016/j.energy.2020.117675

    Article  Google Scholar 

  • Albahri AS, Zaidan AA, Albahri OS, Zaidan BB, Alsalem MA (2018a) Real-time fault-tolerant mHealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects. J Med Syst. https://doi.org/10.1007/s10916-018-0983-9

    Article  Google Scholar 

  • Albahri AS, Zaidan AA, Albahri OS, Zaidan BB, Alsalem MA (2018b) Real-time fault-tolerant mHealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects. J Med Syst 42(8):137. https://doi.org/10.1007/s10916-018-0983-9

    Article  Google Scholar 

  • Albahri OS, Zaidan AA, Zaidan BB, Hashim M, Albahri AS, Alsalem MA (2018c) Real-time remote health-monitoring systems in a medical centre: a review of the provision of healthcare services-based body sensor information, open challenges and methodological aspects. J Med Syst 42(9):164. https://doi.org/10.1007/s10916-018-1006-6

    Article  Google Scholar 

  • Albahri OS, Albahri AS, Mohammed KI, Zaidan AA, Zaidan BB, Hashim M, Salman OH (2018d) Systematic review of real-time remote health monitoring system in triage and priority-based sensor technology: taxonomy, open challenges, motivation and recommendations. J Med Syst 1:1. https://doi.org/10.1007/s10916-018-0943-4

    Article  Google Scholar 

  • Albahri AS, Zaidan AA, Zaidan BB, Hashim M, Albahri OS, Alsalem MA, Mohsin AH, Mohammed KI, Alamoodi AH, Enaizan O, Alyousif S, Zughoul O, Momani F, Hammed K, Alqaysi MC, Abbas K, Almahdi EM, El Shafei G, Jafar M (2019a) Based multiple heterogeneous wearable sensors : a smart real-time health-monitoring structured for hospitals distributor. IEEE Access. https://doi.org/10.1109/ACCESS.2019.2898214

    Article  Google Scholar 

  • Albahri OS, Albahri AS, Zaidan AA, Zaidan BB, Alsalem MA, Mohsin AH, Mohammed KI, Alamoodi AH, Nidhal S, Enaizan O, Chyad MA, Abdulkareem KH, Almahdi EM, Al Shafeey GA, Baqer MJ, Jasim AN, Jalood NS, Shareef AH (2019b) Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors. IEEE Access 7:50052–50080. https://doi.org/10.1109/ACCESS.2019.2910411

    Article  Google Scholar 

  • Albahri AS, Al-Obaidi JR, Zaidan AA, Albahri OS, Hamid RA, Zaidan BB, Alamoodi AH, Hashim M (2020a) Multi-biological laboratory examination framework for the prioritization of patients with COVID-19 based on integrated AHP and group VIKOR methods. Int J Inf Technol Decis Mak 42(8):1–56. https://doi.org/10.1142/S0219622020500285

    Article  Google Scholar 

  • Albahri AS, Alwan JK, Taha ZK, Ismail SF, Hamid RA, Zaidan AA, Albahri OS, Zaidan BB, Alamoodi AH, Alsalem MA (2020b) IoT-based telemedicine for disease prevention and health promotion: state-of-the-art. J Netw Comput Appl 102873

  • Albahri AS, Hamid RA, Albahri OS, Zaidan AA (2020c) Detection-based prioritization: framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated entropy—TOPSIS methods. Artif Intell Med 111:101983

    Article  Google Scholar 

  • Albahri OS et al (2020d) Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: taxonomy analysis, challenges, future solutions and methodological aspects. J Infect Public Health

  • Albahri OS, Al-Obaidi JR, Zaidan AA, Albahri AS, Zaidan BB, Salih MM, Qays A, Dawood KA, Mohammed RT, Abdulkareem KH, Aleesa AM, Alamoodi AH, Chyad MA, Zulkifli CZ (2020e) Helping doctors hasten COVID-19 treatment: towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods. Comput Methods Prog Biomed 196:105617. https://doi.org/10.1016/j.cmpb.2020.105617

    Article  Google Scholar 

  • Albahri OS, Zaidan AA, Salih MM, Zaidan BB, Khatari MA, Ahmed MA, Albahri AS, Alazab M (2020f) Multidimensional benchmarking of the active queue management methods of network congestion control based on extension of fuzzy decision by opinion score method. Int J Intell Syst 36(2):796–831

    Article  Google Scholar 

  • Almahdi EM, Zaidan AA, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS (2019a) Mobile-based patient monitoring systems: a prioritisation framework using multi-criteria decision-making techniques. J Med Syst 43(7):219. https://doi.org/10.1007/s10916-019-1339-9

    Article  Google Scholar 

  • Almahdi EM, Zaidan AA, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS (2019b) Mobile patient monitoring systems from a benchmarking aspect: challenges, open issues and recommended solutions. J Med Syst 43(7):207. https://doi.org/10.1007/s10916-019-1336-z

    Article  Google Scholar 

  • Alsalem MA, Zaidan AA, Zaidan BB, Hashim M, Albahri OS, Albahri AS, Hadi A, Mohammed KI (2018) Systematic review of an automated multiclass detection and classification system for acute leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects. J Med Syst 42(11):204. https://doi.org/10.1007/s10916-018-1064-9

    Article  Google Scholar 

  • Alsalem MA, Zaidan AA, Zaidan BB, Albahri OS, Alamoodi AH, Albahri AS, Mohsin AH, Mohammed KI (2019) Multiclass benchmarking framework for automated acute leukaemia detection and classification based on BWM and group-VIKOR. J Med Syst 43(7):212. https://doi.org/10.1007/s10916-019-1338-x

    Article  Google Scholar 

  • Arifin Z, Ibrahim MR, Hatta HR (2017) Nearest tourism site searching using Haversine method. In: Proceedings—2016 3rd international conference on information technology, computer, and electrical engineering, ICITACEE 2016, pp 293–296. https://doi.org/10.1109/ICITACEE.2016.7892458

  • Cai X, Yao S, Nguyen TD (2019) Measuring the accuracy of map matched trajectories. Google patents

  • Chang TH (2014) Fuzzy VIKOR method: a case study of the hospital service evaluation in Taiwan. Inf Sci 271:196–212. https://doi.org/10.1016/j.ins.2014.02.118

    Article  Google Scholar 

  • Cineros JLB, Lund O (2017) KmerFinderJS: a client-server method for fast species typing of bacteria over slow Internet connections. BioRxiv. https://doi.org/10.1101/145284

    Article  Google Scholar 

  • Di Castelnuovo A, Bonaccio M, Costanzo S, Gialluisi A, Antinori A, Berselli N, Blandi L, Bruno R, Cauda R, Guaraldi G, My I, Menicanti L, Parruti G, Patti G, Perlini S, Santilli F, Signorelli C, Stefanini GG, Vergori A, Iacoviello L (2020) Common cardiovascular risk factors and in-hospital mortality in 3,894 patients with COVID-19: survival analysis and machine learning-based findings from the multicentre Italian CORIST Study. Nutr Metab Cardiovasc Dis 30(11):1899–1913. https://doi.org/10.1016/j.numecd.2020.07.031

    Article  Google Scholar 

  • Enaizan O, Zaidan AA, Alwi NHM, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS (2018) Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis. Health Technol. https://doi.org/10.1007/s12553-018-0278-7

    Article  Google Scholar 

  • Escobar-Curbelo L, Franco-Moreno AI (2019) Application of telemedicine for the control of patients with acute and chronic heart diseases. Telemed E-Health 25(11):1033–1039. https://doi.org/10.1089/tmj.2018.0199

    Article  Google Scholar 

  • Gagnon MP, Duplantie J, Fortin JP, Lamothe L, Légaré F, Labrecque M (2009) Integrating scientific evidence to support telehomecare development in a remote region. Telemed E-Health 15(2):195–198. https://doi.org/10.1089/tmj.2008.0070

    Article  Google Scholar 

  • Guo R, Shi H, Zheng D, Jing C, Zhuang C, Wang Z (2019) Flexible and efficient blockchain-based ABE scheme with multi-authority for medical on demand in telemedicine system. IEEE Access 7:88012–88025. https://doi.org/10.1109/ACCESS.2019.2925625

    Article  Google Scholar 

  • Heidarzadeh H, Heidarzadeh Z, Azadi A (2020) Comparison of pre-hospital triage training by role playing and lecture on nursing students’ knowledge, attitude and performance. Nurs Open 7(4):935–942. https://doi.org/10.1002/nop2.464

    Article  Google Scholar 

  • Hu PF, Yang S, Li HC, Stansbury LG, Yang F, Hagegeorge G, Miller C, Rock P, Stein DM, Mackenzie CF (2017) Reliable collection of real-time patient physiologic data from less reliable networks: a “Monitor of Monitors” system (MoMs). J Med Syst 41(1):3. https://doi.org/10.1007/s10916-016-0648-5

    Article  Google Scholar 

  • Hussain M, Zaidan AA, Zidan BB, Iqbal S, Ahmed MM, Albahri OS, Albahri AS (2018) Conceptual framework for the security of mobile health applications on android platform. Telemat Inform 35(5):1335–1354. https://doi.org/10.1016/j.tele.2018.03.005

    Article  Google Scholar 

  • Ibrahim NK, Jalood NS, Baqer MJ, Nidhal S, Almahdi EM, Alaa M, Hammed H, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Mohammed RT, Jasim AN, Shareef AH (2019) Multi-criteria evaluation and benchmarking for young learners’ English language mobile applications in terms of LSRW skills. IEEE Access 7:146620–146651. https://doi.org/10.1109/ACCESS.2019.2941640

    Article  Google Scholar 

  • Improta G, Russo MA, Triassi M, Converso G, Murino T, Santillo LC (2018) Use of the AHP methodology in system dynamics: modelling and simulation for health technology assessments to determine the correct prosthesis choice for hernia diseases. Math Biosci 299:19–27. https://doi.org/10.1016/j.mbs.2018.03.004

    Article  MathSciNet  MATH  Google Scholar 

  • Jin Z, Chen Y (2015) Telemedicine in the cloud era: prospects and challenges. IEEE Perv Comput 14(1):54–61. https://doi.org/10.1109/MPRV.2015.19

    Article  Google Scholar 

  • Jumaah FM, Zaidan AA, Zaidan BB, Bahbibi R, Qahtan MY, Sali A (2018) Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers. Telecommun Syst 68(3):425–443. https://doi.org/10.1007/s11235-017-0401-5

    Article  Google Scholar 

  • Jumaah FM, Zadain AA, Zaidan BB, Hamzah AK, Bahbibi R (2018) Decision-making solution based multi-measurement design parameter for optimization of GPS receiver tracking channels in static and dynamic real-time positioning multipath environment. Measurement 118:83–95. https://doi.org/10.1016/j.measurement.2018.01.011

    Article  Google Scholar 

  • Kalid N, Zaidan AA, Zaidan BB, Salman OH, Hashim M, Albahri OS, Albahri AS (2018) Based on real time remote health monitoring systems: a new approach for prioritization “large scales data” patients with chronic heart diseases using body sensors and communication technology. J Med Syst. https://doi.org/10.1007/s10916-018-0916-7

    Article  Google Scholar 

  • Kaur R, Singh S, Kumar H (2018) AuthCom: authorship verification and compromised account detection in online social networks using AHP-TOPSIS embedded profiling based technique. Expert Syst Appl 113:397–414. https://doi.org/10.1016/j.eswa.2018.07.011

    Article  Google Scholar 

  • Khatari M (2019) Multi-criteria evaluation and benchmarking for active queue management methods: open issues, challenges and recommended pathway solutions. Int J Inf Technol Decis Mak. https://doi.org/10.1142/S0219622019300039

    Article  Google Scholar 

  • Kovalchuk SV, Krotov E, Smirnov PA, Nasonov DA, Yakovlev AN (2018) Distributed data-driven platform for urgent decision making in cardiological ambulance control. Future Gener Comput Syst 79:144–154. https://doi.org/10.1016/j.future.2016.09.017

  • Kumar N, Kaur K, Jindal A, Rodrigues JJPC (2015) Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment. Digit Commun Netw 1(3):191–203. https://doi.org/10.1016/j.dcan.2015.05.001

    Article  Google Scholar 

  • Martínez V, Navarro C, Cano C, Fajardo W, Blanco A (2015) DrugNet: network-based drug-disease prioritization by integrating heterogeneous data. Artif Intell Med 63(1):41–49. https://doi.org/10.1016/j.artmed.2014.11.003

    Article  Google Scholar 

  • Matthews KA, Kahl AR, Gaglioti AH, Charlton ME (2020) Differences in travel time to cancer surgery for colon versus rectal cancer in a rural state: a new method for analyzing time-to-place data using survival analysis. J Rural Health 36(4):506–516. https://doi.org/10.1111/jrh.12452

    Article  Google Scholar 

  • Miao F, Wen B, Hu Z, Fortino G, Wang X-P, Liu Z-D, Tang M, Li Y (2020) Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques. Artif Intell Med 108:101919. https://doi.org/10.1016/j.artmed.2020.101919

    Article  Google Scholar 

  • Mohammed KI, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Albahri AS, Hadi A, Hashim M (2019a) Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure. J Med Syst 43(7):223. https://doi.org/10.1007/s10916-019-1362-x

    Article  Google Scholar 

  • Mohammed KI, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem MA, Mohsin AH (2019b) Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases. Comput Methods Prog Biomed. https://doi.org/10.1016/j.cmpb.2019.105151

    Article  Google Scholar 

  • Mohammed KI, Jaafar J, Zaidan AA, Albahri OS, Zaidan BB, Abdulkareem KH, Jasim AN, Shareef AH, Baqer MJ, Albahri AS (2020a) A uniform intelligent prioritisation for solving diverse and big data generated from multiple chronic diseases patients based on hybrid decision-making and voting method. IEEE Access 8:91521–91530

    Article  Google Scholar 

  • Mohammed RT, Yaakob R, Zaidan AA, Sharef NM, Abdullah RH, Zaidan BB, Dawood KA (2020b) Review of the research landscape of multi-criteria evaluation and benchmarking processes for many-objective optimization methods: coherent taxonomy, challenges and recommended solution. Int J Inf Technol Decis Mak 19(06):1619–1693

    Article  Google Scholar 

  • Mohsin AH, Zaidan AA, Zaidan BB, Albahri AS, Albahri OS, Alsalem MA, Mohammed KI (2018a) Real-time remote health monitoring systems using body sensor information and finger vein biometric verification: a multi-layer systematic review. J Med Syst 42(12):238. https://doi.org/10.1007/s10916-018-1104-5

    Article  Google Scholar 

  • Mohsin AH, Zaidan AA, Zaidan BB, Ariffin SAB, Albahri OS, Albahri AS, Alsalem MA, Mohammed KI, Hashim M (2018b) Real-time medical systems based on human biometric steganography: a systematic review. J Med Syst 42(12):245. https://doi.org/10.1007/s10916-018-1103-6

    Article  Google Scholar 

  • Mohsin AH, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem MA, Mohammed KI (2019a) Blockchain authentication of network applications: taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions. Comput Stand Interfaces 64:41–60. https://doi.org/10.1016/j.csi.2018.12.002

    Article  Google Scholar 

  • Mohsin AH, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem MA, Mohammed KI (2019b) Based blockchain-PSO-AES techniques in finger vein biometrics: a novel verification secure framework for patient authentication. Comput Stand Interfaces. https://doi.org/10.1016/j.csi.2019.04.002

    Article  Google Scholar 

  • Mohsin AH, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem MA, Mohammed KI (2019c) Based medical systems for patient’s authentication: towards a new verification secure framework using CIA standard. J Med Syst 43(7):192. https://doi.org/10.1007/s10916-019-1264-y

    Article  Google Scholar 

  • Mohsin AH, Jalood NS, Baqer MJ, Alamoodi AH, Almahdi EM, Albahri AS, Alsalem MA, Mohammed KI, Ameen HA, Garfan S, Zaidan AA, Zaidan BB, Albahri OS, Bin Ariffin SA, Alemran A, Enaizan O, Shareef AH, Jasim AN (2020) Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures. IEEE Access 8:9821–9845. https://doi.org/10.1109/ACCESS.2020.2964788

    Article  Google Scholar 

  • Moser DK, Kimble LP, Alberts MJ, Alonzo A, Croft JB, Dracup K, Evenson KR, Go AS, Hand MM, Kothari RU, Mensah GA, Morris DL, Pancioli AM, Riegel B, Zerwic JJ (2006) Reducing delay in seeking treatment by patients with acute coronary syndrome and stroke: a scientific statement from the American Heart Association Council on Cardiovascular Nursing and Stroke Council. Circulation 114(2):168–182. https://doi.org/10.1161/CIRCULATIONAHA.106.176040

    Article  Google Scholar 

  • Napi NM, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Albahri AS (2019) Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review. Health Technol 9:679–700

    Article  Google Scholar 

  • Natafgi N, Mohr NM, Wittrock A, Bell A, Ward MM (2020) The association between telemedicine and Emergency Department (ED) disposition: a stepped wedge design of an ED-based telemedicine program in critical access hospitals. J Rural Health 36(3):360–370. https://doi.org/10.1111/jrh.12370

    Article  Google Scholar 

  • Opricovic S, Tzeng G-H (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156(2):445–455. https://doi.org/10.1016/S0377-2217(03)00020-1

    Article  MATH  Google Scholar 

  • Qader MA, Zaidan BB, Zaidan AA, Ali SK, Kamaluddin MA, Radzi WB (2017) A methodology for football players selection problem based on multi-measurements criteria analysis. Meas J Int Meas Confed 111:38–50. https://doi.org/10.1016/j.measurement.2017.07.024

    Article  Google Scholar 

  • Rahmatullah B, Zaidan AA, Mohamed F, Sali A (2017) Multi-complex attributes analysis for optimum GPS baseband receiver tracking channels selection. In: 2017 4th international conference on control, decision and information technologies, CoDIT 2017, 2017-Janua, pp 1084–1088. https://doi.org/10.1109/CoDIT.2017.8102743

  • Rajak M, Shaw K (2019) Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS. Technol Soc 59:101186. https://doi.org/10.1016/j.techsoc.2019.101186

    Article  Google Scholar 

  • Salih MM, Zaidan BB, Zaidan AA (2020) Fuzzy decision by opinion score method. Appl Soft Comput 96:106595

    Article  Google Scholar 

  • Salman OH, Zaidan AA, Zaidan B, Naserkalid B, Hashim M (2017) Novel methodology for triage and prioritizing using “Big Data” patients with chronic heart diseases through telemedicine environmental. Int J Inf Technol Decis Mak 16(05):1211–1245. https://doi.org/10.1142/S0219622017500225

    Article  Google Scholar 

  • Sanz M, Del Castillo AM, Jepsen S, Gonzalez-Juanatey JR, D’Aiuto F, Bouchard P, Chapple I, Dietrich T, Gotsman I, Graziani F, Herrera D, Loos B, Madianos P, Michel JB, Perel P, Pieske B, Shapira L, Shechter M, Tonetti M, Wimmer G (2020) Periodontitis and cardiovascular diseases. Consensus report. Glob Heart 15(1):1. https://doi.org/10.5334/gh.400

    Article  Google Scholar 

  • Sene A, Kamsu-Foguem B, Rumeau P (2015) Telemedicine framework using case-based reasoning with evidences. Comput Methods Prog Biomed 121(1):21–35. https://doi.org/10.1016/j.cmpb.2015.04.012

    Article  Google Scholar 

  • Sepehrvand N, Alemayehu W, Kaul P, Pelletier R, Bello AK, Welsh RC, Armstrong PW, Ezekowitz JA (2020) Ambulance use, distance and outcomes in patients with suspected cardiovascular disease: a registry-based geographic information system study. Eur Heart J Acute Cardiovasc Care 9(1):45–58. https://doi.org/10.1177/2048872618769872

    Article  Google Scholar 

  • Shojanoori R, Juric R (2013) Semantic remote patient monitoring system. Telemed E-Health 19(2):129–136

    Article  Google Scholar 

  • Shuwandy ML, Zaidan BB, Zaidan AA, Albahri AS (2019) Sensor-based mHealth authentication for real-time remote healthcare monitoring system: a multilayer systematic review. J Med Syst 43(2):33. https://doi.org/10.1007/s10916-018-1149-5

    Article  Google Scholar 

  • Shuwandy ML, Zaidan BB, Zaidan AA, Albahri AS, Alamoodi AH, Albahri OS, Alazab M (2020) mHealth authentication approach based 3D touchscreen and microphone sensors for real-time remote healthcare monitoring system: comprehensive review, open issues and methodological aspects. Comput Sci Rev 38:100300

    Article  Google Scholar 

  • Talal M, Zaidan AA, Zaidan BB et al (2019a) Comprehensive review and analysis of anti-malware apps for smartphones. Telecommun Syst 72:285–337. https://doi.org/10.1007/s11235-019-00575-7

    Article  Google Scholar 

  • Talal M, Zaidan AA, Zaidan BB, Albahri AS, Alamoodi AH, Albahri OS, Alsalem MA, Lim CK, Tan KL, Shir WL, Mohammed KI (2019b) Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: multi-driven systematic review. J Med Syst 43(3):42. https://doi.org/10.1007/s10916-019-1158-z

    Article  Google Scholar 

  • Tariq I, AlSattar HA, Zaidan AA, Zaidan BB, Abu Bakar MR, Mohammed RT, Albahri OS, Alsalem MA, Albahri AS (2018) MOGSABAT: a metaheuristic hybrid algorithm for solving multi-objective optimisation problems. Neural Comput Appl 30:1–15. https://doi.org/10.1007/s00521-018-3808-3

    Article  Google Scholar 

  • Tinetti M, Dindo L, Smith CD, Blaum C, Costello D, Ouellet G, Rosen J, Hernandez-Bigos K, Geda M, Naik A (2019) Challenges and strategies in patients’ health priorities-aligned decision-making for older adults with multiple chronic conditions. PLoS ONE. https://doi.org/10.1371/journal.pone.0218249

    Article  Google Scholar 

  • Woo MW, Lee JW, Park KH (2018) A reliable IoT system for personal healthcare devices. Future Gener Comput Syst 78:626–640. https://doi.org/10.1016/j.future.2017.04.004

    Article  Google Scholar 

  • Yahyaie M, Tarokh MJ, Mahmoodyar MA (2019) Use of internet of things to provide a new model for remote heart attack prediction. Telemed E-Health 25(6):499–510

    Article  Google Scholar 

  • Yas QM, Zadain AA, Zaidan BB, Lakulu MB, Rahmatullah B (2017) Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques. Int J Pattern Recognit Artif Intell 31(03):1759002

    Article  Google Scholar 

  • Yas QM, Zaidan AA, Zaidan BB, Rahmatullah B, Abdul Karim H (2018) Comprehensive insights into evaluation and benchmarking of real-time skin detectors: review, open issues & challenges, and recommended solutions. Measurement 114:243–260. https://doi.org/10.1016/j.measurement.2017.09.027

    Article  Google Scholar 

  • Zaidan BB, Zaidan AA (2017) Software and hardware FPGA-based digital watermarking and steganography approaches: toward new methodology for evaluation and benchmarking using multi-criteria decision-making techniques. J Circuits Syst Comput 26(07):1750116. https://doi.org/10.1142/S021812661750116X

    Article  Google Scholar 

  • Zaidan BB, Zaidan AA (2018) Comparative study on the evaluation and benchmarking information hiding approaches based multi-measurement analysis using TOPSIS method with different normalisation, separation and context techniques. Measurement 117:277–294

    Article  Google Scholar 

  • Zaidan AA, Zaidan BB, Hussain M, Haiqi A, Mat Kiah ML, Abdulnabi M (2015a) Multi-criteria analysis for OS-EMR software selection problem: a comparative study. Decis Support Syst 78:15–27. https://doi.org/10.1016/J.DSS.2015.07.002

    Article  Google Scholar 

  • Zaidan AA, Zaidan BB, Al-Haiqi A, Kiah MLM, Hussain M, Abdulnabi M (2015b) Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS. J Biomed Inform 53:390–404. https://doi.org/10.1016/j.jbi.2014.11.012

    Article  Google Scholar 

  • Zaidan BB, Zaidan AA, Abdul Karim H, Ahmad NN (2017a) A new approach based on multi-dimensional evaluation and benchmarking for data hiding techniques. Int J Inf Technol Decis Mak 16:1–42

    Article  Google Scholar 

  • Zaidan BB, Zaidan AA, Karim HA, Ahmad NN (2017b) A new digital watermarking evaluation and benchmarking methodology using an external group of evaluators and multi-criteria analysis based on ‘large-scale data.’ Softw Pract Exp 47(10):1365–1392. https://doi.org/10.1002/spe.2465

    Article  Google Scholar 

  • Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Albahri AS, Yas QM, Hashim M (2018) A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution. Health Technol 8(4):223–238. https://doi.org/10.1007/s12553-018-0223-9

    Article  Google Scholar 

  • Zaidan AA, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS, Qahtan MY (2019) Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology. Neural Comput Appl. https://doi.org/10.1007/s00521-019-04325-3

    Article  Google Scholar 

  • Zaidan AA, Zaidan BB, Alsalem MA, Momani F, Zughoul O (2020) Novel multiperspective hiring framework for the selection of software programmer applicants based on AHP and group TOPSIS techniques. Int J Inf Technol Decis Mak 19(03):775–847

    Article  Google Scholar 

  • Zughoul O, Momani F, Zaidan AA, Zaidan BB, Alsalem MA, Albahri OS, Albahri AS, Almasri OH, Almasri OH, Hashim M (2018) Comprehensive insights into the criteria of student performance in various educational domains. IEEE Access. https://doi.org/10.1109/ACCESS.2018.2881282

    Article  Google Scholar 

  • Zughoul O, Zaidan AA, Zaidan BB, Faiez M (2020) Novel triplex procedure for ranking the ability of software engineering students based on two levels of AHP and group TOPSIS techniques. Int J Inf Technol Decis Mak. https://doi.org/10.1142/S021962202050042X

    Article  Google Scholar 

Download references

Acknowledgements

The authors are grateful to the Universiti Pendidikan Sultan Idris, Malaysia for funding this study under UPSI Rising Star Grant no. 2019–0125–109–01.

Author information

Authors and Affiliations

  1. Department of Computing, Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia

    O. S. Albahri, A. A. Zaidan, B. B. Zaidan, K. I. Mohammed & M. A. Alsalem

  2. Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq

    A. S. Albahri

  3. Republic of Iraq-Presidency of Ministries - Establishment of Martyrs, Baghdad, Iraq

    A. H. Mohsin

Authors
  1. O. S. Albahri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. A. Zaidan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. B. B. Zaidan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. A. S. Albahri
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. H. Mohsin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. K. I. Mohammed
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. M. A. Alsalem
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to A. A. Zaidan or B. B. Zaidan.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Albahri, O.S., Zaidan, A.A., Zaidan, B.B. et al. New mHealth hospital selection framework supporting decentralised telemedicine architecture for outpatient cardiovascular disease-based integrated techniques: Haversine-GPS and AHP-VIKOR. J Ambient Intell Human Comput 13, 219–239 (2022). https://doi.org/10.1007/s12652-021-02897-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-021-02897-4

Keywords

Search

Navigation