Machine Learning and Iot: A Biological Perspective

ISBN-13: 9781138492691 / Angielski / Twarda / 2018 / 354 str.

Shampa Sen; Leonid Datta; Sayak Mitra

Opis

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.

Spis treści

Machine Learning: A Powerful Tool for Biologists
Mohd Zafar, Ramkumar Lakshmi Narayanan, Saroj K. Meher, and Shishir K. Behera

Mining and Analysis of Bioprocess Data
Prerna Grover, Aditya Shah, and Shampa Sen

Data Mining in Nutrigenomics
Avipsha Sarkar, Shreyasi Kundu, Shakti Singh, and Shampa Sen

Machine Learning in Metabolic Engineering
Sayak Mitra

Big Data and Transcriptomics
Sudharsana Sundarrajan, Sajitha Lulu, and Mohanapriya Arumugam

Comparative Study of Predictive Models in Microbial-Induced
Corrosion
Nitu Joseph and Debayan Mandal

Application of Data Mining Techniques in Autoimmune Diseases Research and Treatment
Sweta Bhattacharya and Sombuddha Sengupta

Data Mining Techniques in Imaging of Embryogenesis
Diptesh Mahajan and Gaurav K. Verma

Machine Learning Approach to Overcome the Challenges in Theranostics: A Review
Bishwambhar Mishra, Sayak Mitra, Karthikeya Srinivasa Varma Gottimukkala, and Shampa Sen

Emotion Detection System
Adrish Bhattacharya, Vibhash Chandra, and Leonid Datta

Segmentation and Clinical Outcome Prediction in Brain Lesions
Sharmila Nageswaran, S. Vidhya, and Deepa Madathil

Machine Learning Based Hospital-Acquired Infection Control System
Prajit Kumar Datta, Sehaj Sharma, and Gaurav Bansal

No Human Doctor: Learning of the Machine
Leonid Datta, Emilee Datta, and Shampa Sen

The IoT Revolution
Adrish Bhattacharya and Denim Datta

Healthcare IoT (H-IoT): Applications and Ethical Concerns
Srijita Banerjee, Adrish Bhattacharya, and Shampa Sen

Brain–Computer Interface
Abhishek Mukherjee, Madhurima Gupta, and Shampa Sen

IoT-Based Wearable Medical Devices
Avitaj Mitra, Abanish Roy, Harshit Nanda, Riddhi Srivastava, and M. Gayathri

People with Disabilities: The Helping Hand of IoT
Ashmita Das, Sayak Mitra, and Shampa Sen

Smart Analytical Lab
Subhrodeep Saha, Sourish Sen, Bharti Singh, and Shampa Sen

Crop and Animal Farming IoT (CAF-IoT)
Neha Agnihotri, Soumyadipto Santra, and Shampa Sen

Index

O autorze

Dr. Shampa Sen is currently working as an Associate Professor at School of Bio-Sciences and Technology, VIT University, Vellore, India. She has more than 57 publications in Environmental Biotechnology, Bionanotechnology and Nutraceuticals.  Dr. Shampa was the Co-PI for project 'Chemisorption-biodecomposition of long resistant pharmaceutical using superparamagentic nanoparticles' funded by NRF-SAVI, Korea. She was actively involved in many professional development activities. Her research interest include biosynthesis of metallic nanoparticles, applications of nanoparticles in biomedical and environmental applications. Recently, she has also tried her hands at machine learning, internet of things and their applications in biology. She has already had a publication in this yet to be explored field regarding computational modeling for evolution of hsp90a homologues, and is currently working on in silico improvement of plant strains using machine learning. She is a life member of Biotech Research Society, India (BRSI) and Environmental Mutagen Society of India (EMSI) and member of International Neural Network Society (INNS).

Leonid Datta has completed his B.Tech degree in computer science and engineering from VIT University, Vellore, India. He is a student member of INNS, USA. He has a publication in the field of bioinformatics on how the evolution of HSP90A homologues can be modelled computationally. Currently he is working on in silico improvement of plant strains using machine learning. His book chapter on “Application of MapReduce in Parallel Processing Data” and his research work on automation of machine learning algorithms, especially in big data analysis, are currently in the pipeline to get published. His most notable project works include designing truncation techniques for a search engine, developing a system that runs based on RFID scanning for attendance purposes or maintaining other records, and automating the processing of big data through development of a portal.

Sayak Mitra is currently pursuing his B.Tech degree in Biotechnology at VIT University, Vellore, India. He has recently published articles on environmental nanoremediation, nanobiotechnology, in silico characterisation and synthesis of a lead compound to target a novel receptor as part of cancer therapeutics, and is currently working on metabolic engineering and optimisation procedures for industrial production of certain metabolites. He has also completed projects on detailed structural analysis and evolutionary history of an industrially important protein, bioremoval of manganese by biofilms developed from indigenous bacterial communities of tannery sludge, and many more.