AI in Healthcare

AI In Healthcare Specialization

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C2 Clinical Data
↳ [ToC] Course 2
↳ [Summary] Module 1: Asking Answering Questions via Clinical DataMining
↳ [Summary] Module2: Data Available From Healthcare Systems
↳ [Summary] Module3: Representing Time Timing Events For Clinical Data Mining
↳ [Summary] Module4 : Creating Analysis Ready Dataset from Patient Timelines
↳ Clinical Text Feature Extraction Using Dictionary-Based Filtering
↳ Clinical Text Mining Pipeline (Steps 1–5)
↳ Ethics in AI for Healthcare
↳ Missing Data Scenarios in Healthcare Modeling
↳ OMOP vs. RLHF
↳ Rule-Based Electronic Phenotyping Example: Type 2 Diabetes
C3 ML Healthcare
↳ [ToC] Course 3
↳ [Summary] Module 3: Concepts and Principles of ML in Healthcare
↳ [Summary] Module 4: Evaluation and Metrics for ML in Healthcare
↳ [Summary] Module 5: Strategies and Challenges in ML for Healthcare
↳ [Summary] Module 6: Best Practices, Terms, and Launching Your ML Journey
↳ [Summary] Module 7: Foundation Models
↳ Case Study: The Hidden Danger of Correlation in Healthcare AI
↳ Categories of Machine Learning Applications in Healthcare
↳ Data Quality, Labeling, and Weak Supervision in Clinical ML
↳ Diagnostic Metrics, Anchoring Perspectives, and Curve Interpretations
↳ Foundation Models for Healthcare
↳ Healthcare Use Cases for Non-textual Unstructured Data
↳ Healthcare Use Cases for Text Data
↳ How Foundation Models Work
↳ Output-Action Pairing (OAP) Framework in Healthcare
↳ Tradeoffs in Machine Learning: Precision vs. Recall in Healthcare
C4 AI Evaluations
↳ [ToC] Course 4
C5 Capstone Projects