Selecting the “right” amount of information to include in a summary is a...
Two-step approaches, in which summary candidates are generated-then-rera...
Summarization models often generate text that is poorly calibrated to qu...
Long-form clinical summarization of hospital admissions has real-world
s...
An assisted living facility (ALF) is a place where someone can live, hav...
In many real-world scenarios with naturally occurring datasets, referenc...
Disease identification is a core, routine activity in observational heal...
Mobile health (mHealth) apps such as menstrual trackers provide a rich s...
Sex and gender-based healthcare disparities contribute to differences in...
We introduce Latent Meaning Cells, a deep latent variable model which le...
Identifying a patient's key problems over time is a common task for prov...
Digital technologies such as smartphones are transforming the way scient...
The menstrual cycle is a key indicator of overall health for women of
re...
We present an end-to-end statistical framework for personalized, accurat...
Deep learning, an area of machine learning, is set to revolutionize pati...
We investigate the use of self-tracking data and unsupervised
mixed-memb...
Generative Adversarial Networks (GANs) represent a promising class of
ge...
In this paper, we introduce a novel task for machine learning in healthc...
The electronic health record (EHR) provides an unprecedented opportunity...
Identifying topics of discussions in online health communities (OHC) is
...