| Description |
1 online resource (390 pages) |
| Contents |
Cover; Half Title; Title Page; Copyright Page; Dedication; Contents; Foreword; Preface; About the Editors; Contributors; 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 EmbryogenesisChapter 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 |
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Chapter 18: People with Disabilities: The Helping Hand of IoTChapter 19: Smart Analytical Lab; Chapter 20: Crop and Animal Farming IoT (CAF-IoT); Index |
| Notes |
Print version record |
| Form |
Electronic book
|
| Author |
Datta, Leonid
|
|
Mitra, Sayak
|
| ISBN |
9781351029926 |
|
1351029924 |
|
