Machine Learning in Healthcare

Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It covers fundamental concepts including mathematical requisites and traditional machine-learning framework followed by advanced machine-learning methods and their applications in medical fields.

Dr Bikesh Kumar Singh is Assistant Professor in the Department of Biomedical Engineering at the National Institute of Technology Raipur, India, where he also received his Ph.D. in Biomedical Engineering. He has twelve years of teaching experience, and for five years he served as the Head of the Department of Biomedical Engineering. He has published more than seventy research papers in various international journals and conferences. He is the recipient of the Chhattisgarh Young Scientist Award, IETE Gowri Memorial Award, IEI Young Engineer Award. Dr G.R. Sinha is Adjunct Professor at the International Institute of Information Technology Bangalore (IIITB) and deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He has been Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo during 2019-2020. He has been Visiting Professor for teaching Short Graduate Course on Cognitive Science and Brain Computing Research at University of Sannio Italy during September 2020-March 2021. He has published 275 research papers, book chapters and books at International level that includes Biometrics published by Wiley India, a subsidiary of John Wiley; Medical Image Processing published by Prentice Hall of India and 13 Edited books. He is Associate Editor of five SCI/Scopus indexed journals. He has teaching and research experience of 22 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been delivering ACM lectures as ACM Distinguished Speaker in the field of DSP since 2017 across the world. His few more important assignments include Expert Member for Vocational Training Program by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2014-2017); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is recipient of more than 12 awards and recognitions at National and International levels. He has delivered more than 50 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world such as Singapore, Myanmar, Sri Lanka, Irvine, Italy and India. He is Consultant of various Skill Development initiatives of NSDC, Govt. of India. He is regular Referee of Project Grants under DST-EMR scheme and several other schemes of Govt. of India.

1. Biostatistics.  2. Probability Theory.  3. Medical Data Acquisition and Pre-processing.  4. Medical Image Processing.  5. Bio-signals.  6. Feature Extraction.  7. Introduction to Machine Learning.  8. Cancer detection: Breast Cancer Detection Using Mammography, Ultrasound and Magnetic Resonance Imaging (MRI).  9. Sickle Cell Disease Management: A Machine Learning Approach.  10. Detection of Pulmonary Diseases.  11. Mental Illness and Neurodevelopmental Disorders.  12. Applications and Challenges.