Decision Analytics and Optimization in Disease Prevention and Treatment - Rilegato

 
9781118960127: Decision Analytics and Optimization in Disease Prevention and Treatment
Rilegato
ISBN 10: 1118960122 ISBN 13: 9781118960127
Casa editrice: John Wiley & Sons Inc, 2018

Sinossi

A systematic review of the most current decision models and techniques for disease prevention and treatment

Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making.

This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment:

  • Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research
  • Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology
  • Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators
  • Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area

Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

NAN KONG, PhD, is Associate Professor in the Weldon School of Biomedical Engineering at Purdue University. Dr. Kong is a member of INFORMS and SMDM, and his research interests include healthcare resource allocation, medical decision-making, and hospital operations management.

SHENGFAN ZHANG, PhD, is Assistant Professor in the Department of Industrial Engineering at the University of Arkansas. Dr. Zhang is a member of INFORMS and IISE, and her research interests include mathematical modeling of stochastic systems, medical decision-making, and health analytics.

Dalla quarta di copertina

A systematic review of the most current decision models and techniques for disease prevention and treatment

Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making.

This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment:

  • Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research
  • Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology
  • Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators
  • Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area

Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
John Wiley & Sons Inc
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
1118960122
ISBN 13 
9781118960127
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
406
Redattore
Kong Nan, Zhang Shengfan
Contatto del produttore
non disponibile
Persona responsabile
non disponibile