Related Books

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis
Language: en
Pages: 109
Authors: Patricia Melin
Categories: Technology & Engineering
Type: BOOK - Published: 2020-10-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical di
Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
Language: en
Pages: 134
Authors: Patricia Melin
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-06 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Language: en
Pages: 586
Authors: Rani, Geeta
Categories: Medical
Type: BOOK - Published: 2020-10-16 - Publisher: IGI Global

DOWNLOAD EBOOK

By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients.
New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics
Language: en
Pages: 471
Authors: Oscar Castillo
Categories: Technology & Engineering
Type: BOOK - Published: 2022-09-30 - Publisher: Springer Nature

DOWNLOAD EBOOK

In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition,
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
Language: en
Pages: 92
Authors: Patricia Melin
Categories: Technology & Engineering
Type: BOOK - Published: 2017-07-04 - Publisher: Springer

DOWNLOAD EBOOK

In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligen