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Data-Driven Surgical Duration Prediction Model for Surgery Scheduling: A Case-Study for a Practice-Feasible Model in a Public Hospital.

, , , , and . CASE, page 275-280. IEEE, (2019)

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Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms., , , , , , , and . Int. J. Medical Informatics, 158 (February): 104665 (2022)Development of a Radiology Decision Support System for the Classification of MRI Brain Scans., , , , , and . BDCAT, page 107-115. IEEE Computer Society, (2018)Explainable AI: Classification of MRI Brain Scans Orders for Quality Improvement., , , , and . BDCAT, page 95-102. ACM, (2019)Data-Driven Surgical Duration Prediction Model for Surgery Scheduling: A Case-Study for a Practice-Feasible Model in a Public Hospital., , , , and . CASE, page 275-280. IEEE, (2019)Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine., , , , and . ELM, volume 11 of Proceedings in Adaptation, Learning and Optimization, page 191-196. Springer, (2018)Multi-objective optimization for a hospital inpatient flow process via discrete event simulation., , , , , , and . WSC, page 3622-3631. IEEE/ACM, (2015)Simulation-based decision support framework for dynamic ambulance redeployment in Singapore., , , , and . Int. J. Medical Informatics, (2017)Data-Driven Decision-Support for Process Improvement through Predictions of Bed Occupancy Rates., , , and . CASE, page 133-139. IEEE, (2019)