Main description:

Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector.

Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth.

Contents:

Part-1 Introduction of Deep Learning in Healthcare 1. Machine Learning & Deep Learning in Healthcare 2. Deep Learning in Healthcare: Opportunities, threats and Challenges 3. Medical Image Classification Using Deep Learning 4. Deep Learning Approach for Telemedicine 5. Medical Decision Support System and its Future

Part-2 Applications of Deep Learning in Healthcare 6. Deep Learning Methods for Clinical Trial 7. Electronic Health Record analysis using Deep Learning 8. Precision medication using Deep Learning 9. Parkinson disease detection using Deep Learning techniques 10. Deep Learning and Machine Learning methods for Fraud Detection in Healthcare 11. Deep Learning for clinical Decision making and Improved healthcare Outcome 12. Deep Learning in Genomics 13. Deep Learning IoT in Medical and Healthcare 14. Deep Learning in Drug Discovery