Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents how these emerging areas are changing the world of data utilization, especially in clinical healthcare. Various techniques, methodologies and algorithms are presented in a structured manner to assist physicians in the precision care of patients and help biomedical engineers and computers scientists understand the impact of these techniques on healthcare analytics. Sections cover Big Data aspects, i.e., healthcare Decision Support Systems and Analytics related topics, focus on current frameworks and applications of Deep Learning and Machine Learning, and provide an outlook on future directions. The entire book takes a case study approach, providing a wealth of real-world case studies that act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers and clinicians to understand and develop healthcare analytics using advanced tools and technologiesIncludes in-depth illustrations of advanced techniques via dataset samples, statistical tables and graphs with algorithms and computational methods for developing new applications in healthcare informaticsPresents a unique case study approach that provides readers with insights for practical clinical implementations INDICE: Part I: Big Data in Healthcare Analytics 1. Foundations of Healthcare Informatics 2. Smart Healthcare Systems Using Big Data 3. Big Data-based Frameworks for Healthcare Systems 4. Predictive Analysis and Modelling in Healthcare Systems 5. Challenges and Opportunities of Big Data Integration in Patient-Centric Healthcare Analytics Using Mobile Networks 6. Emergence of Decision Support Systems in Healthcare Part II: Machine Learning and Deep Learning for Healthcare 7. A Comprehensive Review on Deep Learning Techniques for BCI-based Communication Systems 8. Machine Learning and Deep Learning-based Clinical Diagnostic Systems 9. An Improved Time-Frequency Method for Efficient Diagnosis of Cardiac Arrhythmias 10. Local Plastic Surgery-based Face Recognition Using Convolutional Neural Networks 11. Machine Learning Algorithms for Prediction of Heart Disease 12. Convolutional Siamese Networks for One-Shot Malaria Parasites Recognition in Microscopic Images 13. Kidney Disease Prediction Using a Machine Learning Approach: A Comparative and Comprehensive Analysis

• ISBN: 978-0-12-821633-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 332
• Fecha Publicación: 01/06/2021
• Nº Volúmenes: 1
• Idioma: Inglés