Machine learning and iot :  a biological perspective / 
edited by Shampa Sen, Leonid Datta and Sayak Mitra. 
 - First edition. 
 - 1 online resource (374 pages) :  165 illustrations 
<br/><br/>chapter 1 Machine Learning: A Powerful Tool for Biologists -- chapter 2 Mining and Analysis of Bioprocess Data -- chapter 3 Data Mining in Nutrigenomics -- chapter 4 Machine Learning in Metabolic Engineering -- chapter 5 Big Data and Transcriptomics -- chapter 6 Comparative Study of Predictive Models in Microbial-Induced Corrosion -- chapter 7 Application of Data Mining Techniques in Autoimmune Diseases Research and Treatment -- chapter 8 Data Mining Techniques in Imaging of Embryogenesis -- chapter 9 Machine Learning Approach to Overcome the Challenges in Theranostics: A Review -- chapter 10 Emotion Detection System -- chapter 11 Segmentation and Clinical Outcome Prediction in Brain Lesions -- chapter 12 Machine Learning Based Hospital-Acquired Infection Control System -- chapter 13 No Human Doctor: Learning of the Machine -- chapter 14 The IoT Revolution -- chapter 15 Healthcare IoT (H-IoT): Applications and Ethical Concerns -- chapter 16 Brain-Computer Interface -- chapter 17 IoT-Based Wearable Medical Devices -- chapter 18 People with Disabilities: The Helping Hand of IoT -- chapter 19 Smart Analytical Lab -- chapter 20 Crop and Animal Farming IoT (CAF-IoT). 
<br/><br/> This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases. 
<br/><br/><label>ISBN: </label>9781351029940 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bioinformatics--methodology.<br/>Biology--Data processing--methodology.<br/>NATURE / Reference.<br/>SCIENCE / Life Sciences / Biology.<br/>SCIENCE / Life Sciences / General.<br/>MEDICAL / Biotechnology.<br/>MEDICAL / Hospital Administration & Care.<br/>Bioprocess Data.<br/>Brain Computer Interface.<br/>Healthcare Iot.<br/>Machine Learning.<br/>Nutrigenomics.<br/>Transcritomics.
<br/><br/><label>LC Class. No.: </label>QH324.2 
<br/><br/><label>Dewey Class. No.: </label>570.285