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This book presents work on healthcare management and engineering
using optimization and simulation methods and techniques. Specific
topics covered in the contributed chapters include discrete-event
simulation, patient admission scheduling, simulation-based
emergency department control systems, patient transportation, cost
function networks, hospital bed management, and operating theater
scheduling. The content will be valuable for researchers and
postgraduate students in computer science, information technology,
industrial engineering, and applied mathematics.
This book presents recent work on healthcare management and
engineering using artificial intelligence and data mining
techniques. Specific topics covered in the contributed chapters
include predictive mining, decision support, capacity management,
patient flow optimization, image compression, data clustering, and
feature selection. The content will be valuable for researchers and
postgraduate students in computer science, information technology,
industrial engineering, and applied mathematics.
This book presents work on healthcare management and engineering
using optimization and simulation methods and techniques. Specific
topics covered in the contributed chapters include discrete-event
simulation, patient admission scheduling, simulation-based
emergency department control systems, patient transportation, cost
function networks, hospital bed management, and operating theater
scheduling. The content will be valuable for researchers and
postgraduate students in computer science, information technology,
industrial engineering, and applied mathematics.
This book presents recent work on healthcare management and
engineering using artificial intelligence and data mining
techniques. Specific topics covered in the contributed chapters
include predictive mining, decision support, capacity management,
patient flow optimization, image compression, data clustering, and
feature selection. The content will be valuable for researchers and
postgraduate students in computer science, information technology,
industrial engineering, and applied mathematics.
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