| Course Name | Introduction to Biomedical Informatics |
| Course Code | 23AID441 |
| Program | B.Tech in Artificial Intelligence and Data Science |
| Credits | 3 |
| Campus | Coimbatore , Amritapuri ,Faridabad , Bangaluru, Amaravati |
Introduction to Biomedical Informatics – different biomedical data and databases – methods of data integration of heterogenous data – data retrieval and acquisition – Querying biomedical databases using SQL – heterogeneous data standardization.
Application of data mining and AI techniques in biomedical information – Querying biomedical databases using SQL- Biomedical Imaging Informatics.
Clinical Informatics and Electronic Health Record Systems – AI and mathematical model in clinical trial – community and population health – tackles disease treatment and prevention.
Agro informatics – nutri informatics – ethics of AI in biomedical informatics
Course Objectives
Course Outcomes
After completing this course, students will be able to
|
CO1 |
Application of AI and ML to biomedical problems. |
|
CO2 |
Application data acquisition, integration, retrieval, and manipulation. |
|
CO3 |
Develop knowledge on different biomedical area, like public health informatics, clinical trials, agro informatics, nutri informatics etc. |
|
CO4 |
Develop skill to initiate collaborative research with interdisciplinary teams to develop innovative solutions to real-world problems in biomedical informatics using AI techniques and tools. |
CO-PO Mapping
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PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO |
|||||||||||||||
|
CO1 |
3 |
2 |
3 |
2 |
3 |
3 |
2 |
– |
3 |
2 |
– |
3 |
3 |
– |
– |
|
CO2 |
3 |
2 |
3 |
2 |
3 |
3 |
2 |
– |
3 |
2 |
– |
3 |
– |
3 |
2 |
|
CO3 |
3 |
2 |
3 |
2 |
3 |
3 |
2 |
– |
3 |
2 |
– |
3 |
– |
3 |
2 |
|
CO4 |
3 |
2 |
3 |
2 |
3 |
3 |
2 |
– |
3 |
2 |
– |
3 |
– |
2 |
3 |
Evaluation Pattern
|
Assessment |
Internal/External |
Weightage (%) |
|
Assignments (minimum 2) |
Internal |
30 |
|
Quizzes (minimum 2) |
Internal |
20 |
|
Mid-Term Examination |
Internal |
20 |
|
Term Project/ End Semester Examination |
External |
30 |
Text Books / References
Biomedical Informatics: Computer Applications in Health Care and Biomedicine” by Edward H. Shortliffe and James J. Cimino
“Statistical Methods for Clinical Trials” by J. Rick Turner
“Agro-Informatics and Precision Agriculture” by Manoj Karkee, Qin Zhang, and Shrinivasa K. Upadhyaya
“Public Health Informatics and Information Systems” by J.A. Magnuson and P.G. Fu
Johnson, K. B., & Lorenzi, N. M. (2017). Health Informatics: An Interprofessional Approach. Mosby.
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