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Learning Disease Progression Models That Capture Health Disparities
v1v2 (latest)

Learning Disease Progression Models That Capture Health Disparities

20 December 2024
Erica Chiang
Divya Shanmugam
Ashley N. Beecy
Gabriel Sayer
Nir Uriel
Deborah Estrin
N. Garg
ArXiv (abs)PDFHTML

Papers citing "Learning Disease Progression Models That Capture Health Disparities"

11 / 11 papers shown
Title
Domain constraints improve risk prediction when outcome data is missing
Domain constraints improve risk prediction when outcome data is missing
S. Balachandar
Nikhil Garg
Emma Pierson
CMLOOD
81
7
0
06 Dec 2023
Quantifying Spatial Under-reporting Disparities in Resident
  Crowdsourcing
Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing
Zhi Liu
Uma Bhandaram
Nikhil Garg
81
10
0
19 Apr 2022
Quantifying disparities in intimate partner violence: a machine learning
  method to correct for underreporting
Quantifying disparities in intimate partner violence: a machine learning method to correct for underreporting
Divya Shanmugam
Kaihua Hou
Emma Pierson
31
12
0
08 Oct 2021
Clustering Interval-Censored Time-Series for Disease Phenotyping
Clustering Interval-Censored Time-Series for Disease Phenotyping
Irene Y. Chen
Rahul G. Krishnan
David Sontag
OOD
89
17
0
13 Feb 2021
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
H. Zhang
Amy X. Lu
Mohamed Abdalla
Matthew B. A. McDermott
Marzyeh Ghassemi
80
177
0
11 Mar 2020
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent
  Neural Networks on Electronic Medical Records
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon
Min-Je Choi
J. Kim
Edward Choi
Young Bin Kim
Soonwook Kwon
Jimeng Sun
Jaegul Choo
84
253
0
28 May 2018
Dipole: Diagnosis Prediction in Healthcare via Attention-based
  Bidirectional Recurrent Neural Networks
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma
Radha Chitta
Jing Zhou
Quanzeng You
Tong Sun
Jing Gao
76
560
0
19 Jun 2017
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes
  Processes for Risk Prognosis
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed Alaa
Scott Hu
M. Schaar
65
47
0
15 May 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
142
1,254
0
19 Aug 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
291
1,106
0
18 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
190
1,112
0
11 Nov 2015
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