Soft Computing Techniques for Type-2 Diabetes Data Classification

ISBN-13: 9780367236540 / Angielski / Twarda / 2020 / 152 str.

Ramalingaswamy Cheruku; Damodar Reddy Edla; Venkatanareshbabu Kuppili

Opis

This book serves as a reference book for scientific investigators who need to analyze disease data and/or numerical data, as well as researchers developing methodology in soft computing field. It may also be used as a textbook for a graduate and post graduate level course in machine learning or soft computing.

Spis treści

Preface
Author Bio
Introduction
Literature Survey
Classifcation of Type-2 Diabetes using CVI based RBFN
Classifcation of Type-2 Diabetes using Spider Monkey Crisp Rule Miner
Classifcation of Type-2 Diabetes using Bat based Fuzzy Rule Miner
Classifcation of Type-2 Diabetes using Dual-Stage Cascade Network
Classifcation of Type-2 Diabetes using Bi-Level Ensemble Network
Intelli-DRM: An Intelligent Computational Model for Fore-casting Severity of Diabetes Mellitus
Conclusion and Future Research
Bibliography