Course Name: 

AI for Healthcare (IT469)


B.Tech (AI)


Programme Specific Electives (PSE)

Credits (L-T-P): 

(3-0-2) 4


Introduction to medical informatics, Healthcare data sources and basic analytics, Electronic Health Records, Coding Systems, Modalities - Biomedical image analysis, Genomic data analysis, Natural Language Processing and Data Mining for Clinical Text, mining information from clinical text, dealing with medical terminology, MeSH, SNOMED-CT, Advanced Clinical Data Analytics – Clinical Prediction models, supervised and unsupervised applications, Survival models, evaluations and validation, temporal analytics for clinical data, visual analytics for clinical data, Pervasive health, Clinical Decision Support Systems, Towards explainable-AI in medicine, Applications of Big Data and ML in Medical Diagnostics, Case studies and state-of-the-art systems.


Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Hardcover – Chandan K. Reddy and Charu C. Aggarwal , CRC Press (2015)
Healthcare Information Management Systems: Cases, Strategies, and Solutions - Charlotte A. Weaver, Marion J. Ball, et al. 2015
Medical Informatics, e-Health: Fundamentals and Applications - Alain Venot, Anita Burgun, et al. 2016
Medical Informatics: Computer Applications in Health Care and Biomedicine - Edward H. Shortliffe and Leslie E. Perreault (2001)


Information Technology

Contact us

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit [at] nitk [dot] edu [dot] in

Web Admin: Sowmya Kamath S

Connect with us

We're on Social Networks. Follow us & stay in touch.