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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

18 November 2015
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
ArXivPDFHTML

Papers citing "Doctor AI: Predicting Clinical Events via Recurrent Neural Networks"

50 / 307 papers shown
Title
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery
Xiaoxue Han
Pengfei Hu
Jun-En Ding
Chang Lu
Feng Liu
Yue Ning
5
0
0
22 May 2025
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
51
0
0
01 May 2025
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
36
0
0
14 Apr 2025
Predicting Clinical Outcomes with Waveform LSTMs
Michael Albada
47
0
0
13 Mar 2025
RuCCoD: Towards Automated ICD Coding in Russian
RuCCoD: Towards Automated ICD Coding in Russian
A. Nesterov
Andrey Sakhovskiy
Ivan Sviridov
Airat Valiev
Vladimir Makharev
Petr Anokhin
Galina Zubkova
E. Tutubalina
48
0
0
28 Feb 2025
Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
Sifal Klioui
Sana Sellami
Youssef Trardi
76
0
0
25 Feb 2025
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
Sujeong Im
Jungwoo Oh
Edward Choi
BDL
LM&MA
53
0
0
20 Feb 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
231
0
0
15 Feb 2025
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
Luoting Zhuang
Stephen H. Park
Steven J. Skates
Ashley E. Prosper
Denise R. Aberle
William Hsu
119
0
0
11 Feb 2025
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen
Shuhong Xiao
Shixian Ding
Shanhai Hu
Lingyun Sun
73
0
0
10 Feb 2025
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
Hanguang Xiao
Feizhong Zhou
Xianglong Liu
Tianqi Liu
Zhipeng Li
Xin Liu
Xiaoxuan Huang
AILaw
LM&MA
LRM
66
19
0
31 Dec 2024
Learning Disease Progression Models That Capture Health Disparities
Learning Disease Progression Models That Capture Health Disparities
Erica Chiang
Divya Shanmugam
Ashley N. Beecy
Gabriel Sayer
Nir Uriel
Deborah Estrin
N. Garg
70
0
0
20 Dec 2024
MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records
Eric Yang
Pengfei Hu
Xiaoxue Han
Yue Ning
33
0
0
17 Nov 2024
Interpretable Predictive Models for Healthcare via Rational Logistic
  Regression
Interpretable Predictive Models for Healthcare via Rational Logistic Regression
Thiti Suttaket
L Vivek Harsha Vardhan
Stanley Kok
OOD
30
0
0
05 Nov 2024
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive
  Models Focusing on Logical Structures
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures
Aizan Zafar
Kshitij Mishra
Asif Ekbal
28
0
0
20 Oct 2024
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding
  with Causal Inference
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference
Bin Zhang
Junli Wang
CML
23
0
0
18 Oct 2024
TrajGPT: Irregular Time-Series Representation Learning for Health
  Trajectory Analysis
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
Ziyang Song
Qingcheng Lu
He Zhu
David L. Buckeridge
Yue Li
AI4TS
30
0
0
03 Oct 2024
Continuous-Time Linear Positional Embedding for Irregular Time Series
  Forecasting
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
Byunghyun Kim
Jae-Gil Lee
AI4TS
26
0
0
30 Sep 2024
Neuro-Symbolic AI for Military Applications
Neuro-Symbolic AI for Military Applications
D. Hagos
D. Rawat
NAI
49
4
0
17 Aug 2024
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Heejoon Koo
48
0
0
28 Jul 2024
Deep State-Space Generative Model For Correlated Time-to-Event
  Predictions
Deep State-Space Generative Model For Correlated Time-to-Event Predictions
Yuan Xue
Denny Zhou
Nan Du
Andrew M. Dai
Zhen Xu
Kun Zhang
Claire Cui
47
8
0
28 Jul 2024
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve
  Causal Inference for Medication Recommendation
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation
Ziheng Wang
Xinhe Li
H. Momma
Stefan Köpsell
CML
44
0
0
23 Jul 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits
  for Disease Subtyping based on EHR Data
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
Ziyang Zhang
Hejie Cui
Ran Xu
Yuzhang Xie
Joyce C. Ho
Carl Yang
CML
37
2
0
14 Jun 2024
Inverse Probability of Treatment Weighting with Deep Sequence Models
  Enables Accurate treatment effect Estimation from Electronic Health Records
Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records
Junghwan Lee
Simin Ma
N. Serban
Shihao Yang
CML
21
0
0
13 Jun 2024
Time-aware Heterogeneous Graph Transformer with Adaptive Attention
  Merging for Health Event Prediction
Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
Shibo Li
Hengliang Cheng
Weihua Li
35
0
0
23 Apr 2024
CausalMed: Causality-Based Personalized Medication Recommendation
  Centered on Patient health state
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health state
Xiang Li
Shunpan Liang
Yu Lei
Chen Li
Yulei Hou
Tengfei Ma
AI4TS
CML
29
3
0
18 Apr 2024
Deep Reinforcement Learning for Personalized Diagnostic Decision
  Pathways Using Electronic Health Records: A Comparative Study on Anemia and
  Systemic Lupus Erythematosus
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus
Lillian Muyama
A. Neuraz
Adrien Coulet
35
5
0
09 Apr 2024
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust
  Inference
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference
Anirban Mukherjee
H. Chang
16
0
0
07 Apr 2024
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
Yue Wang
Tianfan Fu
Yinlong Xu
Zihan Ma
Hongxia Xu
Yingzhou Lu
Bang Du
Hong-Yan Gao
Jian Wu
LM&MA
58
27
0
01 Apr 2024
Sequential Inference of Hospitalization Electronic Health Records Using
  Probabilistic Models
Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models
Alan Kaplan
Priyadip Ray
John D Greene
Vincent X. Liu
36
0
0
27 Mar 2024
Automated Multi-Task Learning for Joint Disease Prediction on Electronic
  Health Records
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
Suhan Cui
Prasenjit Mitra
32
2
0
06 Mar 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh
Dongyoung Lim
Sungil Kim
AI4TS
45
13
0
22 Feb 2024
TimEHR: Image-based Time Series Generation for Electronic Health Records
TimEHR: Image-based Time Series Generation for Electronic Health Records
Hojjat Karami
Mary-Anne Hartley
David Atienza
Anisoara Ionescu
31
3
0
09 Feb 2024
Inadequacy of common stochastic neural networks for reliable clinical
  decision support
Inadequacy of common stochastic neural networks for reliable clinical decision support
Adrian Lindenmeyer
Malte Blattmann
S. Franke
Thomas Neumuth
Daniel Schneider
BDL
40
1
0
24 Jan 2024
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal
  Contrastive EHR Modelling with Hierarchical Regularisation
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
Heejoon Koo
40
3
0
22 Jan 2024
Automated Fusion of Multimodal Electronic Health Records for Better
  Medical Predictions
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
Suhan Cui
Jiaqi Wang
Yuan Zhong
Han Liu
Ting Wang
Fenglong Ma
33
3
0
20 Jan 2024
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
XAI for In-hospital Mortality Prediction via Multimodal ICU Data
Xingqiao Li
Jindong Gu
Zhiyong Wang
Yancheng Yuan
Bo Du
Fengxiang He
43
2
0
29 Dec 2023
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
34
4
0
16 Dec 2023
Clinical Risk Prediction Using Language Models: Benefits And
  Considerations
Clinical Risk Prediction Using Language Models: Benefits And Considerations
Angeela Acharya
Sulabh Shrestha
Anyi Chen
Joseph Conte
Sanja Avramovic
S. Sikdar
Antonios Anastasopoulos
Sanmay Das
26
7
0
29 Nov 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human
  Albumin Prediction
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
Zeyang Zhang
Xingwang Li
Fei Teng
Ning Lin
Xueling Zhu
Xin Eric Wang
Wenwu Zhu
OOD
41
11
0
27 Nov 2023
Breaking Boundaries: Balancing Performance and Robustness in Deep
  Wireless Traffic Forecasting
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
Themis Palpanas
OOD
AAML
37
0
0
16 Nov 2023
Time-dependent Probabilistic Generative Models for Disease Progression
Time-dependent Probabilistic Generative Models for Disease Progression
Onintze Zaballa
Aritz Pérez Martínez
Elisa Gómez-Inhiesto
Teresa Acaiturri Ayesta
Jose A. Lozano
29
1
0
15 Nov 2023
Challenges for Predictive Modeling with Neural Network Techniques using
  Error-Prone Dietary Intake Data
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data
Dylan Spicker
Amir Nazemi
Joy M Hutchinson
Paul Fieguth
Sharon I. Kirkpatrick
Michael P Wallace
Kevin W. Dodd
14
1
0
15 Nov 2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical
  Time-Series
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova
Alizée Pace
Manuel Burger
Hugo Yèche
Gunnar Rätsch
AI4TS
39
5
0
15 Nov 2023
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare
  Time Series
Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series
O. Poyraz
Pekka Marttinen
AI4TS
23
1
0
14 Nov 2023
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Daniel Jarrett
Jinsung Yoon
Ioana Bica
Zhaozhi Qian
A. Ercole
M. Schaar
AI4TS
34
35
0
28 Oct 2023
An Interpretable Deep-Learning Framework for Predicting Hospital
  Readmissions From Electronic Health Records
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
Fabio Azzalini
Tommaso Dolci
Marco Vagaggini
OOD
16
1
0
16 Oct 2023
Deep Representation Learning for Prediction of Temporal Event Sets in
  the Continuous Time Domain
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
Parag Dutta
Kawin Mayilvaghanan
Pratyaksha Sinha
Ambedkar Dukkipati
AI4TS
18
0
0
29 Sep 2023
StratMed: Relevance Stratification between Biomedical Entities for
  Sparsity on Medication Recommendation
StratMed: Relevance Stratification between Biomedical Entities for Sparsity on Medication Recommendation
Xiang Li
Shunpan Liang
Yulei Hou
Tengfei Ma
24
13
0
31 Aug 2023
Personalized Event Prediction for Electronic Health Records
Personalized Event Prediction for Electronic Health Records
Jeong Min Lee
Milos Hauskrecht
23
0
0
21 Aug 2023
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