33 citations · 102 across the 13 of their papers we have counts for
6 papers · 1 filter
Prediction of New Onset Diabetes after Liver Transplant
Angeline Yasodhara, Mamatha Bhat, Anna Goldenberg
25% of people who received a liver transplant will go on to develop diabetes within the next 5 years. These thousands of individuals are at 2-fold higher risk of cardiovascular eve…
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL
Chun-Hao Chang, Mingjie Mai, Anna Goldenberg
Current clinical practice to monitor patients' health follows either regular or heuristic-based lab test (e.g. blood test) scheduling. Such practice not only gives rise to redundan…
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation
Bret Nestor, Matthew B. A. McDermott, Geeticka Chauhan +4
Machine learning for healthcare often trains models on de-identified datasets with randomly-shifted calendar dates, ignoring the fact that data were generated under hospital operat…
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
George A. Adam, Petr Smirnov, David Duvenaud +2
Many deep learning algorithms can be easily fooled with simple adversarial examples. To address the limitations of existing defenses, we devised a probabilistic framework that can…
Explaining Image Classifiers by Counterfactual Generation
Chun-Hao Chang, Elliot Creager, Anna Goldenberg +1
When an image classifier makes a prediction, which parts of the image are relevant and why? We can rephrase this question to ask: which parts of the image, if they were not seen by…
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
Marinka Zitnik, Francis Nguyen, Bo Wang +3
New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include a myriad of properties de…