2.2k citations · 6.2k across the 59 of their papers we have counts for
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Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models
Yuxin Xiao, Sheng Zhang, Chandan Singh +4
Electronic health record (EHR) foundation models trained on longitudinal patient trajectories have demonstrated strong performance across diverse clinical prediction tasks. However…
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
Javier González, Risa Ueno, Cliff Wong +12
The rapid digitization of real-world data presents an unprecedented opportunity to optimize healthcare delivery and accelerate biomedical discovery. However, these data are often f…
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
Hoifung Poon, Hai Wang, Hunter Lang
Deep learning has proven effective for various application tasks, but its applicability is limited by the reliance on annotated examples. Self-supervised learning has emerged as a…
Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang, Hoifung Poon
Labeling training examples at scale is a perennial challenge in machine learning. Self-supervision methods compensate for the lack of direct supervision by leveraging prior knowled…
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell +1
We propose an efficient method to estimate the accuracy of classifiers using only unlabeled data. We consider a setting with multiple classification problems where the target class…
Sum-Product Networks: A New Deep Architecture
Hoifung Poon, Pedro Domingos
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are general conditions under which the…