Academic Press Handbook of Computational Intelligence in Healthcare

The Handbook of Computational Intelligence in Biomedical Engineering and Healthcare provides an essential resource for researchers and professionals working at the intersection of technology and medicine. This comprehensive guide assists readers in conducting advanced research across various specialty healthcare applications, including oncology, genomics, and genetic data. By exploring topics such as ontologies construction, bio-memetic systems, and biomedical electronics, this book serves as a roadmap for navigating complex biomedical data analysis. It covers a wide range of computational intelligence methods, including deep learning, fuzzy logic, and connectionist systems. Readers will also gain insights into evolutionary computation, cellular automata, self-organizing systems, and soft computing. This text is designed to help experts analyze and implement advanced computational models to improve healthcare outcomes and drive innovation in biomedical engineering.