Machine Learning with Health Care Perspective

Chapter 1: Machine learning for Healthcare: Introduction.- Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, algorithms and applications.- Chapter 3: Intelligent Learning Analytics in Healthcare Sector Using Machine Learning.- Chapter 4: Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization.- Chapter 5: Machine Learning for Healthcare Diagnostics.- Chapter 6: Disease Detection System (DDS) Using Machine Learning Technique.- Chapter 7: Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to determine Human Age and Gender.- Chapter 8: Deep Learning Solutions for Skin Cancer Detection and Diagnosis.- Chapter 9: Security of Healthcare Systems with Smart Health Records using Cloud Technology.- Chapter 10: Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis.- Chapter 11: Medical Text and image processing: Applications, issues and challenges.- Chapter12: Machine Learning Methods for Managing Parkinson’s Disease.- Chapter 13: An Efficient Method for Computer-aided Diagnosis of Cardiac Arrhythmias.- Chapter 14: Clinical decision support systems and predictive analytics.- Chapter 15: Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and Computational Study.- Chapter 16: Identifying Diseases and Diagnosis using Machine Learning.