An Efficient Method for Indexing Now-relative Bitemporal data. - Bela Stantic; Sankalp Khanna; John Thornton 001 (ADC, 2004)

An Efficient Algorithm for Solving Dynamic Complex DCOP Problems. - Sankalp Khanna; Abdul Sattar 001; David P. Hansen; Bela Stantic (IAT, 2009)

Multiagent Based Scheduling of Elective Surgery. - Sankalp Khanna; Timothy William Cleaver; Abdul Sattar 001; David P. Hansen; Bela Stantic (PRIMA, 2010)

An Intelligent Approach to Surgery Scheduling. - Sankalp Khanna; Abdul Sattar 001; Justin R. Boyle; David P. Hansen; Bela Stantic (PRIMA, 2010)

Impact of Admission and Discharge Peak Times on Hospital Overcrowding. - Sankalp Khanna; Justin R. Boyle; Norm Good; James Lind (HIC, 2011)

Time based clustering for analyzing acute hospital patient flow. - Sankalp Khanna; Justin R. Boyle; Norm Good; James Lind; Kathryn Zeitz (EMBC, 2012)

Visualising patient flow. - Andrew Jensen; Justin R. Boyle; Sankalp Khanna (HIC, 2012)

Early discharge and its effect on ED length of stay and access block. - Sankalp Khanna; Justin R. Boyle; Norm Good; James Lind (HIC, 2012)

Hospital level analysis to improve patient flow. - Sankalp Khanna; Justin R. Boyle; Norm Good; Simon Bugden; Mark Scott (HIC, 2013)

Precise prediction for managing chronic disease readmissions. - Sankalp Khanna; Justin R. Boyle; Norm Good (EMBC, 2014)

Flexing bed stock: A hospital capacity management case study. - Sankalp Khanna; Justin R. Boyle; Kathryn Zeitz (EMBC, 2014)

Mid-term NEAT review: Analysing the improvements in hospital ED performance. - Sankalp Khanna; Justin R. Boyle; Norm Good; James Lind (HIC, 2014)

Analysis of operating theatre utilisation to drive efficiency and productivity improvements. - Hamish Thorburn; Sankalp Khanna; Justin R. Boyle; Norm Good; Michael Steyn (HIC, 2014)

Predicting Procedure Duration to Improve Scheduling of Elective Surgery. - Zahra ShahabiKargar; Sankalp Khanna; Norm Good; Abdul Sattar 001; James Lind; John O'Dwyer (PRICAI, 2014)

Probability of Severe Adverse Events as a Function of Hospital Occupancy. - Justin R. Boyle; Kathryn Zeitz; Richard Hoffman; Sankalp Khanna; John Beltrame (IEEE J. Biomed. Health Informatics, 2014)

Automatic detection of tweets reporting cases of influenza like illnesses in Australia. - Guido Zuccon; Sankalp Khanna; Anthony N. Nguyen; Justin R. Boyle; Matthew Hamlet; Mark A. Cameron (Health Inf. Sci. Syst., 2015)

In-hospital mortality and the "weekend effect": Can we find the underlying causes? - Norm M. Good; Sankalp Khanna; Justin R. Boyle (BHI, 2016)

Predicting Unpanned Return to Hospital for Chronic Disease Patients. - Sankalp Khanna; Norm Good; Justin R. Boyle (HIC, 2016)

Exploratory multivariate analysis of hospital admissions data in conjunction with workforce data. - Yang Xie; Norm Good; Sankalp Khanna; Justin R. Boyle (EMBC, 2017)

Improved Prediction of Procedure Duration for Elective Surgery. - Zahra ShahabiKargar; Sankalp Khanna; Abdul Sattar 001; James Lind (HIC, 2017)

Weekly Hospital Workforce Data: A Data Visualisation Exercise. - Yang Xie; Sankalp Khanna; Norm Good; Justin R. Boyle (HIC, 2017)

Before-after evaluation of patient length of stay in a rehabilitation context following implementation of an electronic patient journey board. - David A. Rolls; Sankalp Khanna; Nicola Lloyd; Andrew Reeson; Rajiv Jayasena; Christopher McCormick; Sharon Hakkennes (Int. J. Medical Informatics, 2020)

Daily surgery caseload prediction: towards improving operating theatre efficiency. - Hamed Hassanzadeh; Justin R. Boyle; Sankalp Khanna; Barbara Biki; Faraz Syed (BMC Medical Informatics Decis. Mak., 2022)

Development of an Interactive Dashboard to Analyse Physiological Signals in the Neonatal Intensive Care Unit. - Christina J. Lauw; Jessica Rahman; Aida Brankovic; Mark Tracy; Sankalp Khanna (EMBC, 2023)

Modelling Planned vs. Actual Start Time to Control the Efficiency of Surgery. - Justin R. Boyle; Hamed Hassanzadeh; Sankalp Khanna; Barbara Biki; Faraz Syed; Ellen Borkwood; Lianne Sweeney (MedInfo, 2023)

Emergency Department Demand and the First Year of the COVID-19 Pandemic. - Justin R. Boyle; Sankalp Khanna; James Lind (MedInfo, 2023)

Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR. - Aida Brankovic; Wenjie Huang; David Cook; Sankalp Khanna; Konstanty Bialkowski (MedInfo, 2023)

An Approach for Generating Realistic Australian Synthetic Healthcare Data. - 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 (MedInfo, 2023)

A Step Towards Building Health Digital Twins: Patient Phenotype Representation for Health Outcome Prediction. - Hamed Hassanzadeh; Justin R. Boyle; Sankalp Khanna (MedInfo, 2023)

Towards Accurate Search for Neonatal Heartbeat: Weighted Algorithm for Reliable ECG Analysis of Premature Infants. - Jessica Rahman; Aida Brankovic; Mark Tracy; Robert Halliday; Sankalp Khanna (MedInfo, 2023)

Innovative Implemented Tools for Outpatient Clinic Scheduling. - Vahid Riahi; Liz Cooper-Williams; Sankalp Khanna; Rajiv Jayasena (MedInfo, 2023)

Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? - Aida Brankovic; David Cook; Jessica Rahman; Wenjie Huang; Sankalp Khanna (CoRR, 2023)

Machine learning model with output correction: Towards reliable bradycardia detection in neonates. - Jessica Rahman; Aida Brankovic; Sankalp Khanna (Comput. Biol. Medicine, 2024)

Benchmarking the most popular XAI used for explaining clinical predictive models: Untrustworthy but could be useful. - Aida Brankovic; David Cook; Jessica Rahman; Sankalp Khanna; Wenjie Huang (Health Informatics J., 2024)