90 citations · 428 across the 38 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 10 cited
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning
Ahmed M. Alaa, Mihaela van der Schaar
Disease progression models are instrumental in predicting individual-level health trajectories and understanding disease dynamics. Existing models are capable of providing either a…
cs.LG2018★ 57 cited
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
Ahmed M. Alaa, Mihaela van der Schaar
Clinical prognostic models derived from largescale healthcare data can inform critical diagnostic and therapeutic decisions. To enable off-theshelf usage of machine learning (ML) i…
stat.ME2018★ 24 cited
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
Ahmed M. Alaa, Mihaela van der Schaar
We investigate the problem of estimating the causal effect of a treatment on individual subjects from observational data, this is a central problem in various application domains,…