25 citations · 40 across the 4 of their papers we have counts for
9 papers
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks
Lida Zhang, Nathan C. Hurley, Bassem Ibrahim +4
Blood pressure monitoring is an essential component of hypertension management and in the prediction of associated comorbidities. Blood pressure is a dynamic vital sign with freque…
Learning to Ask Medical Questions using Reinforcement Learning
Uri Shaham, Tom Zahavy, Cesar Caraballo +3
We propose a novel reinforcement learning-based approach for adaptive and iterative feature selection. Given a masked vector of input features, a reinforcement learning agent itera…
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı +4
Automated analysis of clinical notes is attracting increasing attention. However, there has not been much work on medical term abbreviation disambiguation. Such abbreviations are a…
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders
Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz +2
Cardiovascular disorders account for nearly 1 in 3 deaths in the United States. Care for these disorders are often determined during visits to acute care facilities, such as hospit…
A Scalable Data Science Platform for Healthcare and Precision Medicine Research
Jacob McPadden, Thomas JS Durant, Dustin R Bunch +9
Objective: To (1) demonstrate the implementation of a data science platform built on open-source technology within a large, academic healthcare system and (2) describe two computat…
Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks
Benjamin Au, Uri Shaham, Sanket Dhruva +7
The determination of a coronary stenosis and its severity in current clinical workflow is typically accomplished manually via physician visual assessment (PVA) during invasive coro…