AL-504 (A) AI in Health Care Notes
5 notes for AI in Health Care, unit by unit.
Notes for AL-504 (A)
- Unit 1 · Short notes Disease detection with computer vision Medical image diagnosis · Eye disease diagnosis · Cancer diagnosis using imaging · Building and training a model for medical diagnosis · Training, prediction, and loss functions · Image classification and class imbalance handling
- Unit 2 · Short notes Evaluating models Sensitivity and specificity as evaluation metrics · Accuracy expressed as conditional probability · Confusion matrix construction and interpretation · Receiver operating characteristic (ROC) curve analysis · Threshold selection for classification decisions · Image segmentation on MRI images
- Unit 3 · Short notes Linear prognostic models Medical prognosis fundamentals · Atrial fibrillation risk modeling · Liver disease mortality prediction · Risk assessment for heart disease · Evaluation of prognostic models · Concordant pair analysis
- Unit 4 · Short notes Survival Models and Time Survival analysis concepts · Survival function definition · Collection of time‑to‑event data · Estimation of the survival function · Risk modeling using linear models · Risk modeling using tree‑based models
- Unit 5 · Short notes Medical Treatment Effect Estimation Analysis of randomized controlled trial data · Average treatment effect (ATE) estimation · Conditional average treatment effect (CATE) estimation · T‑Learner methodology · S‑Learner methodology · C‑for‑benefit approach
More for AL-504 (A)
Other 5th semester AIML subjects
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- AL-502 Database Management Systems
- AL-503 (A) Information Retrieval
- AL-503 (B) Deep Learning
- AL-503 (C) Optimization Techniques in Machine Leaning
- AL-504 (B) Natural Language Processing
- AL-504 (C) Computational Intelligence