Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems

Parvathaneni Naga Srinivasu, Norita Md Norwawi, Sheng Lung Peng

• Publisher: Bentham Science Publishers
• Year: 2003
• ISBN:
  9781681089553
• Topic: Tecnología e ingeniería
• Subtopic: Ciencias biomédicas

Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective of how intelligent systems impact patient outcomes for healthcare professionals who are assisted by advanced computing algorithms. Key Features: - Covers emerging technologies in biomedical engineering and healthcare that assist physicians in diagnosis, treatment, and surgical planning in a multidisciplinary context - Provides examples of technical use cases for artificial intelligence, machine learning and deep learning in medicine, with examples of different algorithms - Introduces readers to the concept of telemedicine and electronic healthcare systems - Provides implementations of disease prediction models for different diseases including cardiovascular diseases, diabetes and Alzheimer's disease - Summarizes key information for learners - Includes references for advanced readers The book serves as an essential reference for academic readers, as well as computer science enthusiasts who want to familiarize themselves with the practical computing techniques in the field of biomedical engineering (with a focus on medical imaging) and medical informatics.

Table of contents

• Welcome
• Table of Content
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• FOREWORD
• PREFACE
• List of Contributors
• Convolutional Neural Network for Denoising Left Ventricle Magnetic Resonance Images
• Early Diabetic Retinopathy Detection Using Elevated Continuous Particle Swarm Optimization Clustering With Raspberry PI
• E-Health System and Telemedicine: An Overview and its Applications in Health Care and Medicine
• Fuzzy Logic Implementation in Patient Monitoring System for Lymphatic Treatment of Leg Pain
• Safe Distance and Face Mask Detection using OpenCV and MobileNetV2
• Performance Evaluation of ML Algorithms for Disease Prediction Using DWT and EMD Techniques
• Cardiovascular Disease Preventive Prediction and Medication (CVDPPM) - A Model Based on AI Techniques for Prediction and Timely Medical Assistance
• Personalized Smart Diabetic System Using Hybrid Models of Neural Network Algorithms
• A Framework of Smart Mobile Application for Vehicle Health Monitoring
• Progression Prediction and Classification of Alzheimer’s Disease using MRI