Causal inference and counterfactual prediction in machine learning for actionable healthcare

The central role of the propensity score in observational studies for causal effects

Paul R. Rosenbaum, Donald B. Rubin · Biometrika · 1983 · 31K citations · Full text

Public Health, Biostatistics, Causal Inference +16

Mastering the game of Go without human knowledge

David Silver, Julian Schrittwieser, Karen Simonyan et al. · Nature · 2017 · 9.2K citations

Engineering, Educational Psychology, Cognitive Psychology +7

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Cynthia Rudin · Nature Machine Intelligence · 2019 · 9K citations · Full text

Computing, Computer Science, Artificial Intelligence +11

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA · 2016 · 7.5K citations

Computing, Computer Science, Ophthalmology +17

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

Karel G.M. Moons, Douglas G. Altman, Johannes B. Reitsma et al. · Annals of Internal Medicine · 2015 · 5.2K citations · Full text

Computing, Biostatistics, Clinical Decision Support +14