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.
