304 citations · 1.6k across the 183 of their papers we have counts for
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A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference
Ahmed M. Alaa, Mihaela van der Schaar
Modeling continuous-time physiological processes that manifest a patient's evolving clinical states is a key step in approaching many problems in healthcare. In this paper, we deve…
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features
Onur Atan, William R. Zame, Qiaojun Feng +1
This paper proposes a novel approach for constructing effective personalized policies when the observed data lacks counter-factual information, is biased and possesses many feature…
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data
Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1
Critically ill patients in regular wards are vulnerable to unanticipated clinical dete- rioration which requires timely transfer to the intensive care unit (ICU). To allow for risk…
Personalized Donor-Recipient Matching for Organ Transplantation
Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras +1
Organ transplants can improve the life expectancy and quality of life for the recipient but carries the risk of serious post-operative complications, such as septic shock and organ…
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes
Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1
Objective: In this paper, we develop a personalized real-time risk scoring algorithm that provides timely and granular assessments for the clinical acuity of ward patients based on…
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed M. Alaa, Mihaela van der Schaar
We develop a Bayesian model for decision-making under time pressure with endogenous information acquisition. In our model, the decision maker decides when to observe (costly) infor…