bokomslag Next Generation Healthcare Systems Using Soft Computing Techniques
Data & IT

Next Generation Healthcare Systems Using Soft Computing Techniques

Rekh Ram Janghel Rohit Raja Korhan Cengiz Hiral Raja

Inbunden

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  • 210 sidor
  • 2022
This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems. This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors. Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners toand at the same time brings industry professionals up to speed withthe important role soft computing techniques play in smart healthcare systems.
  • Författare: Rekh Ram Janghel, Rohit Raja, Korhan Cengiz, Hiral Raja
  • Format: Inbunden
  • ISBN: 9781032107974
  • Språk: Engelska
  • Antal sidor: 210
  • Utgivningsdatum: 2022-09-21
  • Förlag: CRC Press