Description
Book SynopsisThis 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.
Table of ContentsMachine Learning: A Powerful Tool for Biologists. Mining and Analysis of Bioprocess Data. Data Mining in Nutrigenomics. Machine Learning in Metabolic Engineering. Big Data and Transcriptomics. Comparative Study of Predictive Models In Microbial Induced Corrosion. Application of Data Mining Techniques In Autoimmune Diseases Research and Treatment. Data Mining Techniques in Imaging of Embryogenesis. Machine Learning Approach to Overcome The Challenges In Theranostics: A Review. Emotion Detection System. Segmentation and Clinical Outcome Prediction In Brain Lesions. Machine Learning based Hospital-acquired Infection Control System. No Human Doctor: Learning of the Machine. The IoT Revolution. Healthcare IoT (H-IoT): Applications and Ethical Concerns. Brain Computer Interface. IoT-Based Wearable Medical Devices. People with Disabilities: Helping Hand of IoT. Smart Analytical Lab. Crop and animal farming IoT (CAF-IoT)
