Transcription of Machine Learning for Survival Analysis
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Machine Learning for Survival Analysis
Machine Learning for Survival Analysis Chandan K. Reddy Yan Li Dept. of Computer Science Dept. of Computational Medicine Virginia Tech and Bioinformatics ~reddy Univ. of Michigan, Ann Arbor 1. Tutorial Outline Basic Concepts Statistical Methods Machine Learning Methods Related Topics 2. Tutorial Outline Basic Concepts Statistical Methods Machine Learning Methods Related Topics 3. Healthcare Demographics Comorbodities Laboratory Procedures Medications Age Hypertension Hemoglobin Hemodialysis ACE inhibitor Gender Diabetes Blood count Contrast dye Dopamine Race CKD Glucose Catheterization Milrinone Event IMPACT.
Regression Problem: Can predict the time of event Only 3 samples (not 10) –loss of data Ping Wang, Yan Li, Chandan, K. Reddy, “Machine Learning for Survival Analysis: A Survey”. ACM Computing Surveys (under revision), 2017.
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