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Sankalp Khanna
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2020 – today
- 2024
- [j5]Jessica Rahman, Aida Brankovic, Sankalp Khanna:
Machine learning model with output correction: Towards reliable bradycardia detection in neonates. Comput. Biol. Medicine 177: 108658 (2024) - 2023
- [c27]Christina J. Lauw, Jessica Rahman, Aida Brankovic, Mark Tracy, Sankalp Khanna:
Development of an Interactive Dashboard to Analyse Physiological Signals in the Neonatal Intensive Care Unit. EMBC 2023: 1-4 - [c26]Jessica Rahman, Aida Brankovic, Mark Tracy, Robert Halliday, Sankalp Khanna:
Towards Accurate Search for Neonatal Heartbeat: Weighted Algorithm for Reliable ECG Analysis of Premature Infants. MedInfo 2023: 224-228 - [c25]Vahid Riahi, Liz Cooper-Williams, Sankalp Khanna, Rajiv Jayasena:
Innovative Implemented Tools for Outpatient Clinic Scheduling. MedInfo 2023: 249-253 - [c24]Justin R. Boyle, Hamed Hassanzadeh, Sankalp Khanna, Barbara Biki, Faraz Syed, Ellen Borkwood, Lianne Sweeney:
Modelling Planned vs. Actual Start Time to Control the Efficiency of Surgery. MedInfo 2023: 785-789 - [c23]Ibrahima Diouf, John Grimes, Mitchell J. O'Brien, Hamed Hassanzadeh, Donna Truran, Hoa Ngo, Parnesh Raniga, Michael Lawley, Denis C. Bauer, David P. Hansen, Sankalp Khanna, Roc Reguant:
An Approach for Generating Realistic Australian Synthetic Healthcare Data. MedInfo 2023: 820-824 - [c22]Aida Brankovic, Wenjie Huang, David Cook, Sankalp Khanna, Konstanty Bialkowski:
Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR. MedInfo 2023: 865-869 - [c21]Hamed Hassanzadeh, Justin R. Boyle, Sankalp Khanna:
A Step Towards Building Health Digital Twins: Patient Phenotype Representation for Health Outcome Prediction. MedInfo 2023: 1011-1015 - [c20]Justin R. Boyle, Sankalp Khanna, James Lind:
Emergency Department Demand and the First Year of the COVID-19 Pandemic. MedInfo 2023: 1287-1291 - [i2]Aida Brankovic, David Cook, Jessica Rahman, Wenjie Huang, Sankalp Khanna:
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? CoRR abs/2306.11985 (2023) - [i1]Aida Brankovic, Wenjie Huang, David Cook, Sankalp Khanna, Konstanty Bialkowski:
Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR. CoRR abs/2311.16654 (2023) - 2022
- [j4]Hamed Hassanzadeh, Justin R. Boyle, Sankalp Khanna, Barbara Biki, Faraz Syed:
Daily surgery caseload prediction: towards improving operating theatre efficiency. BMC Medical Informatics Decis. Mak. 22(1): 151 (2022) - [e4]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13629, Springer 2022, ISBN 978-3-031-20861-4 [contents] - [e3]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13630, Springer 2022, ISBN 978-3-031-20864-5 [contents] - [e2]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13631, Springer 2022, ISBN 978-3-031-20867-6 [contents] - 2020
- [j3]David A. Rolls, Sankalp Khanna, Nicola Lloyd, Andrew Reeson, Rajiv Jayasena, Christopher McCormick, Sharon Hakkennes:
Before-after evaluation of patient length of stay in a rehabilitation context following implementation of an electronic patient journey board. Int. J. Medical Informatics 134 (2020)
2010 – 2019
- 2017
- [c19]Yang Xie, Norm Good, Sankalp Khanna, Justin R. Boyle:
Exploratory multivariate analysis of hospital admissions data in conjunction with workforce data. EMBC 2017: 2626-2629 - [c18]Zahra ShahabiKargar, Sankalp Khanna, Abdul Sattar, James Lind:
Improved Prediction of Procedure Duration for Elective Surgery. HIC 2017: 133-138 - [c17]Yang Xie, Sankalp Khanna, Norm Good, Justin R. Boyle:
Weekly Hospital Workforce Data: A Data Visualisation Exercise. HIC 2017: 153-159 - 2016
- [c16]Norm M. Good, Sankalp Khanna, Justin R. Boyle:
In-hospital mortality and the "weekend effect": Can we find the underlying causes? BHI 2016: 336-339 - [c15]Sankalp Khanna, Norm Good, Justin R. Boyle:
Predicting Unpanned Return to Hospital for Chronic Disease Patients. HIC 2016: 67-73 - 2015
- [j2]Guido Zuccon, Sankalp Khanna, Anthony N. Nguyen, Justin R. Boyle, Matthew Hamlet, Mark A. Cameron:
Automatic detection of tweets reporting cases of influenza like illnesses in Australia. Health Inf. Sci. Syst. 3(1) (2015) - 2014
- [j1]Justin R. Boyle, Kathryn Zeitz, Richard Hoffman, Sankalp Khanna, John Beltrame:
Probability of Severe Adverse Events as a Function of Hospital Occupancy. IEEE J. Biomed. Health Informatics 18(1): 15-20 (2014) - [c14]Sankalp Khanna, Justin R. Boyle, Kathryn Zeitz:
Flexing bed stock: A hospital capacity management case study. EMBC 2014: 2718-2721 - [c13]Sankalp Khanna, Justin R. Boyle, Norm Good:
Precise prediction for managing chronic disease readmissions. EMBC 2014: 2734-2737 - [c12]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind:
Mid-term NEAT review: Analysing the improvements in hospital ED performance. HIC 2014: 54-59 - [c11]Hamish Thorburn, Sankalp Khanna, Justin R. Boyle, Norm Good, Michael Steyn:
Analysis of operating theatre utilisation to drive efficiency and productivity improvements. HIC 2014: 163-168 - [c10]Zahra ShahabiKargar, Sankalp Khanna, Norm Good, Abdul Sattar, James Lind, John O'Dwyer:
Predicting Procedure Duration to Improve Scheduling of Elective Surgery. PRICAI 2014: 998-1009 - 2013
- [c9]Sankalp Khanna, Justin R. Boyle, Norm Good, Simon Bugden, Mark Scott:
Hospital level analysis to improve patient flow. HIC 2013: 65-71 - [e1]Sankalp Khanna, Christian Guttmann, Abdul Sattar, David P. Hansen, Fernando Koch:
Proceedings of the Third Australasian Workshop on Artificial Intelligence in Health (AIH 2013) and the Fourth International Workshop on Collaborative Agents - Research and Development (CARE 2013) co-located with the 26th Australasian Joint Conference on Artificial Intelligence (AI 2013), Dunedin, New Zealand, December 3, 2013. CEUR Workshop Proceedings 1098, CEUR-WS.org 2013 [contents] - 2012
- [c8]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind, Kathryn Zeitz:
Time based clustering for analyzing acute hospital patient flow. EMBC 2012: 5903-5906 - [c7]Andrew Jensen, Justin R. Boyle, Sankalp Khanna:
Visualising patient flow. HIC 2012: 77-82 - [c6]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind:
Early discharge and its effect on ED length of stay and access block. HIC 2012: 92-98 - 2011
- [c5]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind:
Impact of Admission and Discharge Peak Times on Hospital Overcrowding. HIC 2011: 82-88 - 2010
- [c4]Sankalp Khanna, Timothy William Cleaver, Abdul Sattar, David P. Hansen, Bela Stantic:
Multiagent Based Scheduling of Elective Surgery. PRIMA 2010: 74-89 - [c3]Sankalp Khanna, Abdul Sattar, Justin R. Boyle, David P. Hansen, Bela Stantic:
An Intelligent Approach to Surgery Scheduling. PRIMA 2010: 535-550
2000 – 2009
- 2009
- [c2]Sankalp Khanna, Abdul Sattar, David P. Hansen, Bela Stantic:
An Efficient Algorithm for Solving Dynamic Complex DCOP Problems. IAT 2009: 339-346 - 2004
- [c1]Bela Stantic, Sankalp Khanna, John Thornton:
An Efficient Method for Indexing Now-relative Bitemporal data. ADC 2004: 113-122
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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