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09/08/2023
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Selecting the “right” amount of information to include in a summary is a...
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05/28/2023
Generating EDU Extracts for Plan-Guided Summary Re-Ranking
Two-step approaches, in which summary candidates are generated-then-rera...
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05/12/2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Summarization models often generate text that is poorly calibrated to qu...
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03/07/2023
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization
Long-form clinical summarization of hospital admissions has real-world s...
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12/28/2022
Assisted Living in the United States: an Open Dataset
An assisted living facility (ALF) is a place where someone can live, hav...
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04/13/2022
Learning to Revise References for Faithful Summarization
In many real-world scenarios with naturally occurring datasets, referenc...
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03/10/2022
Assessing Phenotype Definitions for Algorithmic Fairness
Disease identification is a core, routine activity in observational heal...
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02/24/2021
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
Mobile health (mHealth) apps such as menstrual trackers provide a rich s...
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11/11/2020
Exploring Gender Disparities in Time to Diagnosis
Sex and gender-based healthcare disparities contribute to differences in...
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09/29/2020
Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model
We introduce Latent Meaning Cells, a deep latent variable model which le...
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03/09/2020
Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients
Identifying a patient's key problems over time is a common task for prov...
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10/02/2019
Indicators of retention in remote digital health studies: A cross-study evaluation of 100,000 participants
Digital technologies such as smartphones are transforming the way scient...
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09/24/2019
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile health data
The menstrual cycle is a key indicator of overall health for women of re...
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08/27/2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
We present an end-to-end statistical framework for personalized, accurat...
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06/06/2019
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
Deep learning, an area of machine learning, is set to revolutionize pati...
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11/06/2018
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data
We investigate the use of self-tracking data and unsupervised mixed-memb...
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12/01/2017
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories
Generative Adversarial Networks (GANs) represent a promising class of ge...
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11/30/2017
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes
In this paper, we introduce a novel task for machine learning in healthc...
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08/06/2016
Deep Survival Analysis
The electronic health record (EHR) provides an unprecedented opportunity...
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03/28/2016
