Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data and IOT based techniques play a significant role for disease diagnosis and their prediction. In medical field, the structure of data is equally important for accurate predictive analytic due to heterogeneity of data like ECG data, X-Ray data, image data etc. Thus, this book focuses on the usability of machine learning; big data and IOT based techniques to handle structured and unstructured data. This book also emphasis on the privacy preservation techniques of medical data. This book can be used as a reference book for both undergraduate and graduate courses like medical informatics, machine learning, big data and IoT. Uses of CNN, Deep Learning, and extreme machine learning concepts for design and development of predictive diagnostic systemsIncludes several privacy preservation techniques for medical dataPresents the integration of Internet of Things with predictive diagnostic systems for disease diagnosisOffers case studies and applications related machine learning, big data and health care analysis INDICE: Theme 1: Machine Learning Approaches for Medical Informatics 1. PHR Based System for Accurate Prediction of Different Disease 2. K-Harmonic Based Attribute Weighting Method for Diabetes Diagnosis 3. Application of Deep Learning for analyzing the healthcare Data 4. Design New Ensemble Classifier for Thyroid Disease Detection Theme 2: Usability of Big Data for Medical Informatics 5. Smart Healthcare Using Predictive Analytic Techniques 6. A review on Big Data Techniques in Healthcare -Issues, Challenges and Need 7. A Decision Support System Based on Big Data Analytics for Healthcare Management 8. Management of Big Data in Healthcare: A Case Study Theme 3: IoT based Solutions for Healthcare System 9. IoT Enabled Decision Support System for Diagnosis of Heart Disease 10. Monitoring of Elderly People Using IoT Based Approach 11. E-Healthcare Model for Remote Patients Using IoT and Cloud Based Approach 12. A Review on IoT Based Mechanisms in Healthcare: Approaches, Taxonomy and Challenges 13. Case Study of IOT and Cloud based Solutions for Healthcare Theme 4: Privacy Preservation Techniques for Healthcare Data 14. Cloud Based Privacy Preservation Technique for Healthcare Data 15. A Survey on Privacy Preservation Techniques in Healthcare: Need, Issues and Potential Solutions 16. A Big Data Framework Using Privacy Preservation Technique for Medical Datasets 17. Privacy Preservation in Medical Data: A Case Study

• ISBN: 978-0-12-821777-1
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 320
• Fecha Publicación: 01/07/2021
• Nº Volúmenes: 1
• Idioma: Inglés