27 Dec The project would develop novel applications of AI
The project would develop novel applications of AI/ML methods, decisionmaking, modelling and Simulation methods in the healthcare managementproblems such as hospital admission pattern analysis, bed resourcerequirements forecasting, allocation and management. It would provide studentsan excellent opportunity to understand how AI/ ML methods can be used fordeveloping solutions to real life problems and also assessing effectiveness ofsuch AI/ML tools.Healthcare resource planners need to develop policies that ensure optimalallocation of scarce healthcare resources. This goal can be achieved byanalysing admission patterns to forecast daily resource requirements to ensureoptimum allocation and management of available resources. If resources arelimited, admission should be scheduled according to the resource availability.Such resource availability or demand can change with time. We here modeladmissions and patient flow through the care system as a discrete time Markovchain. In order to have a more realistic representation, a non-homogeneousmodel is developed which incorporates time-dependent covariates, namely apatient’s present age and the present calendar year. However, moresophisticated models are required to better manage changes in admissionpatterns and resource requirements. As our previous work, we have alreadydeveloped many such sophisticated models for better modelling admissionpatterns and resource requirements [1-4]. In this final year project (FYP), we wiextend our work to develop novel approaches to effectively solve the problemusing AI/ML based methods.
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