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Language Models Are An Effective Patient Representation Learning
  Technique For Electronic Health Record Data

Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data

6 January 2020
E. Steinberg
Kenneth Jung
Jason Alan Fries
Conor K. Corbin
Stephen R. Pfohl
N. Shah
ArXivPDFHTML

Papers citing "Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data"

46 / 46 papers shown
Title
Foundation models for electronic health records: representation dynamics and transferability
Foundation models for electronic health records: representation dynamics and transferability
Michael C. Burkhart
Bashar Ramadan
Zewei Liao
Kaveri Chhikara
Juan C. Rojas
William F. Parker
Brett Beaulieu-Jones
31
0
0
14 Apr 2025
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
Yuanyun Zhang
Shi Li
39
0
0
10 Apr 2025
Comparing representations of long clinical texts for the task of patient note-identification
Comparing representations of long clinical texts for the task of patient note-identification
Safa Alsaidi
Marc Vincent
O. Boyer
Nicolas Garcelon
Miguel Couceiro
Adrien Coulet
52
0
0
31 Mar 2025
Deep Causal Behavioral Policy Learning: Applications to Healthcare
Jonas Knecht
Anna Zink
Jonathan Kolstad
Maya Petersen
CML
85
0
0
05 Mar 2025
Large Language Models are Powerful EHR Encoders
Large Language Models are Powerful EHR Encoders
S. Hegselmann
Georg von Arnim
Tillmann Rheude
Noel Kronenberg
David Sontag
Gerhard Hindricks
R. Eils
Benjamin Wild
LM&MA
49
1
0
24 Feb 2025
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
Michael Wornow
Suhana Bedi
Miguel Angel Fuentes Hernandez
E. Steinberg
Jason Alan Fries
Christopher Ré
Sanmi Koyejo
N. Shah
95
4
0
09 Dec 2024
Representation Learning of Structured Data for Medical Foundation Models
Representation Learning of Structured Data for Medical Foundation Models
Vijay Prakash Dwivedi
Viktor Schlegel
Andy T. Liu
Thanh-Tung Nguyen
Abhinav Ramesh Kashyap
Jeng Wei
Wei-Hsian Yin
Stefan Winkler
R. Tan
30
0
0
17 Oct 2024
Zero Shot Health Trajectory Prediction Using Transformer
Zero Shot Health Trajectory Prediction Using Transformer
P. Renc
Y. Jia
A. E. Samir
J. Was
Quanzheng Li
D. W. Bates
Arkadiusz Sitek
AI4TS
MedIm
33
14
0
30 Jul 2024
The Platonic Representation Hypothesis
The Platonic Representation Hypothesis
Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
77
110
0
13 May 2024
Large Language Multimodal Models for 5-Year Chronic Disease Cohort
  Prediction Using EHR Data
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data
Jun-En Ding
Phan Nguyen Minh Thao
Wen-Chih Peng
Jian-Zhe Wang
Chun-Cheng Chug
...
Dongsheng Luo
Chi-Te Wang
Pei-fu Chen
Feng Liu
Fang-Ming Hung
LM&MA
30
4
0
02 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
37
66
0
27 Feb 2024
RelayAttention for Efficient Large Language Model Serving with Long
  System Prompts
RelayAttention for Efficient Large Language Model Serving with Long System Prompts
Lei Zhu
Xinjiang Wang
Wayne Zhang
Rynson W. H. Lau
28
5
0
22 Feb 2024
Towards a Foundation Model for Brain Age Prediction using coVariance
  Neural Networks
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks
Saurabh Sihag
Gonzalo Mateos
Alejandro Ribeiro
28
5
0
12 Feb 2024
Unsupervised Discovery of Clinical Disease Signatures Using
  Probabilistic Independence
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
Thomas A. Lasko
J. M. Still
Thomas Z. Li
Marco Barbero Mota
William W Stead
Eric V. Strobl
Bennett A. Landman
Fabien Maldonado
28
1
0
08 Feb 2024
Emergency Department Decision Support using Clinical Pseudo-notes
Emergency Department Decision Support using Clinical Pseudo-notes
Simon A. Lee
Sujay Jain
Alex Chen
Kyoka Ono
Jennifer Fang
Á. Rudas
Jeffrey N. Chiang
19
8
0
31 Jan 2024
Event-Based Contrastive Learning for Medical Time Series
Event-Based Contrastive Learning for Medical Time Series
Hyewon Jeong
Nassim Oufattole
Matthew B. A. McDermott
Aparna Balagopalan
P. Chandak
Marzyeh Ghassemi
Collin M. Stultz
21
4
0
16 Dec 2023
A Multi-Center Study on the Adaptability of a Shared Foundation Model
  for Electronic Health Records
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records
L. Guo
Jason Alan Fries
E. Steinberg
Scott L. Fleming
Keith Morse
Catherine Aftandilian
J. Posada
Nigam Shah
L. Sung
OOD
21
13
0
20 Nov 2023
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A
  Comprehensive Benchmark for Evaluating Foundation Models in Emergency
  Medicine
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
Emma Chen
Aman Kansal
Julie Chen
B. Jin
Julia Rachel Reisler
David A Kim
Pranav Rajpurkar
35
14
0
07 Nov 2023
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
In Gim
Guojun Chen
Seung-seob Lee
Nikhil Sarda
Anurag Khandelwal
Lin Zhong
34
75
0
07 Nov 2023
Benefits and Harms of Large Language Models in Digital Mental Health
Benefits and Harms of Large Language Models in Digital Mental Health
Munmun De Choudhury
Sachin R. Pendse
Neha Kumar
LM&MA
AI4MH
22
41
0
07 Nov 2023
General-Purpose Retrieval-Enhanced Medical Prediction Model Using
  Near-Infinite History
General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History
Junu Kim
Chaeeun Shim
Bosco Seong Kyu Yang
Chami Im
Sung Yoon Lim
Han-Gil Jeong
Edward Choi
22
8
0
31 Oct 2023
Cost-Sensitive Best Subset Selection for Logistic Regression: A
  Mixed-Integer Conic Optimization Perspective
Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective
Ricardo Knauer
Erik Rodner
21
5
0
09 Oct 2023
CPLLM: Clinical Prediction with Large Language Models
CPLLM: Clinical Prediction with Large Language Models
Ofir Ben Shoham
Nadav Rappoport
LM&MA
34
24
0
20 Sep 2023
Machine Learning for Administrative Health Records: A Systematic Review
  of Techniques and Applications
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications
Adrian Wilkins-Caruana
M. Bandara
Katarzyna Musial
D. Catchpoole
Paul J. Kennedy
16
10
0
27 Aug 2023
Med-Flamingo: a Multimodal Medical Few-shot Learner
Med-Flamingo: a Multimodal Medical Few-shot Learner
Michael Moor
Qian Huang
Shirley Wu
Michihiro Yasunaga
C. Zakka
Yashodhara Dalmia
E. Reis
Pranav Rajpurkar
J. Leskovec
LM&MA
MedIm
27
231
0
27 Jul 2023
Multimodal LLMs for health grounded in individual-specific data
Multimodal LLMs for health grounded in individual-specific data
Anastasiya Belyaeva
J. Cosentino
F. Hormozdiari
Krish Eswaran
S. Shetty
Greg C. Corrado
Andrew Carroll
Cory Y. McLean
N. Furlotte
LM&MA
33
49
0
18 Jul 2023
Interpreting deep embeddings for disease progression clustering
Interpreting deep embeddings for disease progression clustering
Anna Munoz-Farre
Antonios Poulakakis-Daktylidis
Dilini M. Kothalawala
A. Rodriguez-Martinez
28
0
0
12 Jul 2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Michael Wornow
Rahul Thapa
E. Steinberg
Jason Alan Fries
N. Shah
VLM
OOD
AI4MH
18
36
0
05 Jul 2023
Natural Language Processing in Electronic Health Records in Relation to
  Healthcare Decision-making: A Systematic Review
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review
Elias Hossain
R. Rana
N. Higgins
J. Soar
P. Barua
Anthony R. Pisani
Ph. D
K. Turner
19
182
0
22 Jun 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for
  Generative, Pre-trained Transformers over Continuous-time Sequences of
  Complex Events
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Matthew B. A. McDermott
Bret A. Nestor
Peniel Argaw
I. Kohane
AI4TS
24
21
0
20 Jun 2023
The Shaky Foundations of Clinical Foundation Models: A Survey of Large
  Language Models and Foundation Models for EMRs
The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
Michael Wornow
Yizhe Xu
Rahul Thapa
Birju S. Patel
E. Steinberg
Scott L. Fleming
M. Pfeffer
Jason Alan Fries
N. Shah
LM&MA
23
32
0
22 Mar 2023
DEPLOYR: A technical framework for deploying custom real-time machine
  learning models into the electronic medical record
DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Conor K. Corbin
R. Maclay
Aakash Acharya
Sreedevi Mony
Soumya Punnathanam
Rahul Thapa
N. Kotecha
N. Shah
Jonathan H. Chen
15
17
0
11 Mar 2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We
  Detect Cardiovascular Disease Through Language Models?
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Jielin Qiu
William Jongwon Han
Jiacheng Zhu
Mengdi Xu
Michael A. Rosenberg
Emerson Liu
Douglas Weber
Ding Zhao
24
21
0
21 Jan 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
E. Steinberg
Jason Alan Fries
Yizhe Xu
N. Shah
OOD
AI4TS
28
13
0
09 Jan 2023
sEHR-CE: Language modelling of structured EHR data for efficient and
  generalizable patient cohort expansion
sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansion
Anna Munoz-Farre
Harry Rose
S. A. Cakiroglu
9
4
0
30 Nov 2022
GenHPF: General Healthcare Predictive Framework with Multi-task
  Multi-source Learning
GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source Learning
Kyunghoon Hur
Jungwoo Oh
Junu Kim
Jiyoun Kim
Min Jae Lee
Eunbyeol Choi
Seong-Eun Moon
Young-Hak Kim
Louis Atallah
E. Choi
AI4TS
9
22
0
20 Jul 2022
Enriching Unsupervised User Embedding via Medical Concepts
Enriching Unsupervised User Embedding via Medical Concepts
Xiaolei Huang
Franck Dernoncourt
Mark Dredze
15
3
0
20 Mar 2022
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model
  Deployment
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment
Zhenbang Wu
Cao Xiao
Lucas Glass
David M. Liebovitz
Jimeng Sun
29
5
0
04 Mar 2022
Leveraging Time Irreversibility with Order-Contrastive Pre-training
Leveraging Time Irreversibility with Order-Contrastive Pre-training
Monica Agrawal
Hunter Lang
M. Offin
L. Gazit
David Sontag
19
6
0
04 Nov 2021
A comparison of approaches to improve worst-case predictive model
  performance over patient subpopulations
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen R. Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
26
22
0
27 Aug 2021
Unifying Heterogeneous Electronic Health Records Systems via Text-Based
  Code Embedding
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
Kyunghoon Hur
Jiyoung Lee
Jungwoo Oh
Wesley Price
Young-Hak Kim
E. Choi
30
17
0
08 Aug 2021
Explainable Health Risk Predictor with Transformer-based Medicare Claim
  Encoder
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder
Chuhong Lahlou
Ancil Crayton
C. Trier
E. Willett
MedIm
16
5
0
19 May 2021
Generalized and Transferable Patient Language Representation for
  Phenotyping with Limited Data
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data
Yuqi Si
E. Bernstam
Kirk Roberts
21
8
0
24 Feb 2021
Deep Representation Learning of Patient Data from Electronic Health
  Records (EHR): A Systematic Review
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si
Jingcheng Du
Zhao Li
Xiaoqian Jiang
T. Miller
Fei Wang
W. J. Zheng
Kirk Roberts
OOD
13
154
0
06 Oct 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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