Collaborative Data Science for Healthcare (Fall 2020) (M-I-T)

Logistic Regression: Summary (M-I-T)

Evaluating Analyses (Example) (M-I-T)

Machine Intelligence (M-I-T)

Statistical Methods (M-I-T)

Exploring MIMIC-III (M-I-T)

Summary (M-I-T)

Machine Learning Powered Medical Diagnostics: An Example (M-I-T)

Final Thoughts (M-I-T)

Technologies Driving Healthcare AI (M-I-T)

Medicine Rebuilt As Data Science (M-I-T)

FINER Mnemonic (M-I-T)

The Clinical Scenario: Impact of Indwelling Arterial Catheters (M-I-T)

Frequency of Data Acquisition (M-I-T)

Missing data analysis (M-I-T)

The Prerequisite for High-Quality Data Analytics (M-I-T)

Multiple Testing And Spurious Findings (Example: Dead Salmon Study) (M-I-T)

Get To Know Your Data (M-I-T)

Trees: Bias-Variance Tradeoff (M-I-T)

Noisy and Inconsistent Data (M-I-T)

Graphical EDA: Multivariate Case Study (M-I-T)

Trees: Bootstrapping (M-I-T)

Notations (M-I-T)

Graphical EDA: Scatterplot Examples (M-I-T)

Trees: Evaluating Performance (M-I-T)

Outcome (M-I-T)