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Justin R. Boyle
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Journal Articles
- 2022
- [j7]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) - 2016
- [j6]Melanie Jessup, Julia Crilly, Justin R. Boyle, Marianne Wallis, James Lind, David Green, Gerard Fitzgerald:
Users' experiences of an emergency department patient admission predictive tool: A qualitative evaluation. Health Informatics J. 22(3): 618-632 (2016) - 2015
- [j5]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
- [j4]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) - 2009
- [j3]Justin R. Boyle, Niranjan P. Bidargaddi, Antti Särelä, Mohan Karunanithi:
Automatic Detection of Respiration Rate From Ambulatory Single-Lead ECG. IEEE Trans. Inf. Technol. Biomed. 13(6): 890-896 (2009) - 2008
- [j2]Justin R. Boyle, Anthony J. Maeder, Wageeh W. Boles:
Region-of-interest processing for electronic visual prostheses. J. Electronic Imaging 17(1): 013002 (2008) - 2000
- [j1]Justin R. Boyle, Anthony J. Maeder, Wageeh W. Boles:
Digital imaging challenges for artificial human vision. South Afr. Comput. J. 26: 222-227 (2000)
Conference and Workshop Papers
- 2023
- [c23]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 - [c22]Jin Yoon, Justin R. Boyle:
A New Statistical Method to Detect Disease Outbreaks from Hospital Emergency Department Data. MedInfo 2023: 886-890 - [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 - [c19]Justin R. Boyle, Janardhan Vignarajan, Sajib Saha:
Automated Diabetic Retinopathy Diagnosis for Improved Clinical Decision Support. MedInfo 2023: 1490-1491 - 2017
- [c18]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 - [c17]Yang Xie, Sankalp Khanna, Norm Good, Justin R. Boyle:
Weekly Hospital Workforce Data: A Data Visualisation Exercise. HIC 2017: 153-159 - 2016
- [c16]Justin R. Boyle, Derek Ireland, Fiona Webster, Kim O'Sullivan:
Predicting demand for hospital capacity planning. BHI 2016: 328-331 - [c15]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 - [c14]Sankalp Khanna, Norm Good, Justin R. Boyle:
Predicting Unpanned Return to Hospital for Chronic Disease Patients. HIC 2016: 67-73 - 2015
- [c13]Yogesan Kanagasingam, Justin R. Boyle, Janardhan Vignarajan, Di Xiao, Ming Zhang:
Establishing an indigenous tele-eye care service. EMBC 2015: 1608-1611 - 2014
- [c12]Sankalp Khanna, Justin R. Boyle, Kathryn Zeitz:
Flexing bed stock: A hospital capacity management case study. EMBC 2014: 2718-2721 - [c11]Sankalp Khanna, Justin R. Boyle, Norm Good:
Precise prediction for managing chronic disease readmissions. EMBC 2014: 2734-2737 - [c10]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind:
Mid-term NEAT review: Analysing the improvements in hospital ED performance. HIC 2014: 54-59 - [c9]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 - 2013
- [c8]Sankalp Khanna, Justin R. Boyle, Norm Good, Simon Bugden, Mark Scott:
Hospital level analysis to improve patient flow. HIC 2013: 65-71 - 2012
- [c7]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind, Kathryn Zeitz:
Time based clustering for analyzing acute hospital patient flow. EMBC 2012: 5903-5906 - [c6]Andrew Jensen, Justin R. Boyle, Sankalp Khanna:
Visualising patient flow. HIC 2012: 77-82 - [c5]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
- [c4]Sankalp Khanna, Justin R. Boyle, Norm Good, James Lind:
Impact of Admission and Discharge Peak Times on Hospital Overcrowding. HIC 2011: 82-88 - 2010
- [c3]Sankalp Khanna, Abdul Sattar, Justin R. Boyle, David P. Hansen, Bela Stantic:
An Intelligent Approach to Surgery Scheduling. PRIMA 2010: 535-550 - 2006
- [c2]Justin R. Boyle, Mohan Karunanithi, Tim Wark, Wilbur Chan, Christine Colavitti:
Quantifying Functional Mobility Progress for Chronic Disease Management. EMBC 2006: 5916-5919 - 2001
- [c1]Justin R. Boyle, Anthony J. Maeder, Wageeh W. Boles:
Challenges in digital imaging for artificial human vision. Human Vision and Electronic Imaging 2001: 533-543
Coauthor Index
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