6 papers
SIDEKICK: A Semantically Integrated Resource for Drug Effects, Indications, and Contraindications
Mohammad Ashhad, Olga Mashkova, Ricardo Henao +1
Pharmacovigilance and clinical decision support systems utilize structured drug safety data to guide medical practice. However, existing datasets frequently depend on terminologies…
Generating Accurate Synthetic Survival Data by Conditioning on Outcomes
Mohd Ashhad, Ricardo Henao
Synthetically generated data can improve privacy, fairness, and data accessibility; however, it can be challenging in specialized scenarios such as survival analysis. One key chall…
Learning Survival Distributions with the Asymmetric Laplace Distribution
Deming Sheng, Ricardo Henao
Probabilistic survival analysis models seek to estimate the distribution of the future occurrence (time) of an event given a set of covariates. In recent years, these models have p…
On Understanding Attention-Based In-Context Learning for Categorical Data
Aaron T. Wang, William Convertino, Xiang Cheng +2
In-context learning based on attention models is examined for data with categorical outcomes, with inference in such models viewed from the perspective of functional gradient desce…
Learning to Substitute Words with Model-based Score Ranking
Hongye Liu, Ricardo Henao
Smart word substitution aims to enhance sentence quality by improving word choices; however current benchmarks rely on human-labeled data. Since word choices are inherently subject…
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Yuetan Chu, Gongning Luo, Longxi Zhou +13
Pulmonary artery-vein segmentation is crucial for disease diagnosis and surgical planning and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However…