
Evolutionary Intelligence for Healthcare Applications
- 160 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Evolutionary Intelligence for Healthcare Applications
About this book
This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.
Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system.
Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.
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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Acknowledgments
- About the Authors
- 1 Evolutionary Intelligence
- 2 Heart Disease Diagnosis
- 3 Diabetes Prediction and Classification
- 4 Degenerative Diseases
- 5 Tuberculosis
- 6 Muscular Dystrophy
- 7 Tumor Prediction and Classification
- Index
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