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Proactive diabetes management: research directions

Published: 04 January 2019 Publication History

Abstract

More than 200 million people across the globe are affected by Diabetes Mellitus (DM), which is one of the most common endocrine disorders. DM progression is dangerous as it leads to several life-threatening complications within 5--15 years of onset, depending on the care and management that they receive for DM. Hence, it is important for the public and healthcare policymakers to look proactively at managing the onset of the disease and delay associated complications as far as possible. Proactive management would result in significant reductions in the healthcare expenses. The fight against DM is multidisciplinary and research-oriented. Computer and data scientists can collaborate with medical researchers to augment research and management by using the power of big data analytics, machine learning, IoT (Internet of Things), and cloud computing. Computing principles and techniques can be used to efficiently collect, manage, and analyse data to derive meaningful insights, which can then be used for efficient management of the health concerns of patients. This paper describes the need for diabetes management and reviews technological interventions and related research directions in proactive diabetes management.

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  • (2024)“Obviously, Nothing's Gonna Happen in Five Minutes”: How Adolescents and Young Adults Infrastructure Resources to Learn Type 1 Diabetes ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642612(1-16)Online publication date: 11-May-2024
  • (2024)A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varietiesMultimedia Tools and Applications10.1007/s11042-024-19126-7Online publication date: 22-Apr-2024
  • (2023)Point-of-Care Biosensors for Healthcare ApplicationsNanobiosensors for point-of-care medical diagnostics10.1007/978-981-19-5141-1_1(1-23)Online publication date: 1-Jan-2023
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cover image ACM Conferences
ICDCN '19: Proceedings of the 20th International Conference on Distributed Computing and Networking
January 2019
535 pages
ISBN:9781450360944
DOI:10.1145/3288599
  • General Chairs:
  • R. C. Hansdah,
  • Dilip Krishnaswamy,
  • Nitin Vaidya
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 January 2019

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Author Tags

  1. big data analytics
  2. diabetes mellitus
  3. electronic health record (EHR)
  4. genomics
  5. interoperability

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ICDCN '19
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  • SIGOPS
  • Indian Institute of Science

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Cited By

View all
  • (2024)“Obviously, Nothing's Gonna Happen in Five Minutes”: How Adolescents and Young Adults Infrastructure Resources to Learn Type 1 Diabetes ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642612(1-16)Online publication date: 11-May-2024
  • (2024)A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varietiesMultimedia Tools and Applications10.1007/s11042-024-19126-7Online publication date: 22-Apr-2024
  • (2023)Point-of-Care Biosensors for Healthcare ApplicationsNanobiosensors for point-of-care medical diagnostics10.1007/978-981-19-5141-1_1(1-23)Online publication date: 1-Jan-2023
  • (2023)Challenges and opportunities of big data analytics in healthcareHealth Care Science10.1002/hcs2.662:5(328-338)Online publication date: 4-Oct-2023
  • (2021)Extractive Summarization of EHR NotesProceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences10.1007/978-981-15-7533-4_73(909-919)Online publication date: 20-Feb-2021
  • (2020)Big data analytics in healthcare: a systematic literature reviewEnterprise Information Systems10.1080/17517575.2020.181200514:7(878-912)Online publication date: 12-Oct-2020

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