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B.E. (Artificial Intelligence and Data Science) AI for Healthcare Lab Syllabus - Mumbai University 2026

This is the Fourth Year BE AI and DS syllabus under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has published no NEP 2020 syllabus for Semesters V to VIII of any engineering branch, so this is the scheme you are examined on — exam form 1T01817 and 1T01818. The first and second years of the degree are on NEP 2020.

AI for Healthcare Lab.pdf
Semester 7 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

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Syllabus for AI for Healthcare Lab

Semester 7 · Fourth Year BE AI and DS · 1 credits · CBCS REV-2019 'C' Scheme

Module 1

  • Collect, Clean, Integrate and Transform Healthcare Data based on specific disease.

Module 2

  • Perform Exploratory data analysis of Healthcare Data.

Module 3

  • AI for medical diagnosis based on MRI/X-ray data.

Module 4

  • AI for medical prognosis .

Module 5

  • Natural language Entity Extraction from medical reports.

Module 6

  • Predict disease risk from Patient data.

Module 7

  • Medical Reviews Analysis from social media data.

Module 8

  • Explainable AI in healthcare for model interpretation.

Module 9

  • Mini Project-Design and implement innovative web/mobile based AI application using Healthcare Data. (this needs to be implemented in group of 3-4 students )

Module 10

  • Documentation and Presentation of Mini Project.

Text Books

  • 1 Arjun Panesar, "Machine Learning and AI for Healthcare", A Press.
  • 2 Arvin Agah, "Medical applications of Artificial Systems ", CRC Press

References

  • 1 Erik R. Ranschaert Sergey Morozov Paul R. Algra, "Artificial Intelligence in medical Imaging- Opportunities, Applications and Risks", Springer
  • 2 Sergio Consoli Diego Reforgiato Recupero Milan Petković,"Data Science for Healthcare-Methodologies and Applications", Springer
  • 3 Dac-Nhuong Le, Chung Van Le, Jolanda G. Tromp, Gia Nhu Nguyen, "Emerging technologies for health and medicine", Wiley.
  • 4 Ton J. Cleophas • Aeilko H. Zwinderman, "Machine Learning in Medicine- Complete Overview", Springer

Useful Links

  • 1 https://www.coursera.org/learn/introduction-tensorflow?specialization=tensorflow-in-practice
  • 2 https://www.coursera.org/learn/convolutional-neural-networks-tensorflow?specialization=tensorflo w- in-practice
  • 3 https://datarade.ai/data-categories/electronic-health-record-ehr-data
  • 4 https://www.cms.gov/Medicare/E-Health/EHealthRecords
  • 5 https://www.coursera.org/learn/tensorflow-sequences-time-series-and-prediction?specialization=te nsorflow-in-practice

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.12 (N), under CBCS REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

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