Healthcare informatics
- 1.Introduction to Healthcare Informatics: Understanding What Makes Healthcare Unique
- 2.Overview of Clinical Care
- 3.Clinical Data in Healthcare Informatics: Types, Sources, and Challenges
- 4.Risk Stratification Using Machine Learning in Healthcare
- 5.Analysis of Physiological Time-Series Data in Clinical Informatics
- 6.NLP Applications in Healthcare Data and Clinical Notes
- 7.Translating Informatics Technologies into Clinical Practice
- 8.Machine Learning Applications in Cardiology Informatics
- 9.Machine Learning for Differential Diagnosis
- 10.Machine Learning Applications for Pathology
- 11.Machine Learning Applications for Mammography
- 12.Causal Inference in Healthcare Data and Decision-Making
- 13.Reinforcement Learning for Clinical Decision Support
- 14.Evaluating Dynamic Treatment Strategies
- 15.Modeling Disease Progression and Subtyping
- 16.Precision Medicine Enabled by Machine Learning
- 17.Automating Clinical Workflows Through Informatics and Machine Learning