This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis. The book explores and highlights the latest advancements, methodologies, applications, and tools in these fields.
Chapter1- Overview of Computational Intelligence for Health Informatics and Computer-Aided Diagnosis
Chapter 2- From Pixels to Prognosis: Machine Learning Approaches for Medical Imaging Diagnosis
Chapter 3- Development of an Advanced Lung Cancer Diagnosis System Using Image Processing and Machine Learning
Chapter 4- Automated Dementia Detection using Genetic Algorithm and Differential Evaluation Model P. Muthu
Chapter 5- Exploring deep learning models in medical image analysis for human disease detection and classification
Chapter 6- Machine Learning approach for different habitual activity Versus sleep intermittent stages in time efficient perspectives based on facial features
Chapter 7- A Survey on Challenges in Interoperability and Security in iot based healthcare system
Chapter 8- Intelligent Cardiovascular Disease Prediction Using Ant Colony Optimization with Enhanced Deep Learning Model
Chapter 9- Utilizing Explainable Artificial Intelligence for Parkinson's Disease Diagnosis through Analysis of Spiral and Wave Drawings with Integrated Data Augmentation
Chapter 10- Review on Medical sensors for health care monitoring systems using Machine learning algorithm
Chapter 11- Breast Cancer Classification Using Machine Learning a SlS!
![Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools [Hardcover]](/itemImage/2/8/4/7/2_7106448.jpg "Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools [Hardcover]")