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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
Privacy-preserving patient clustering for personalized federated
  learning
Privacy-preserving patient clustering for personalized federated learning
Ahmed Elhussein
Gamze Gursoy
FedML
OOD
18
8
0
17 Jul 2023
SoK: Comparing Different Membership Inference Attacks with a
  Comprehensive Benchmark
SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark
Jun Niu
Xiaoyan Zhu
Moxuan Zeng
Ge Zhang
Qingyang Zhao
...
Peng Liu
Yulong Shen
Xiaohong Jiang
Jianfeng Ma
Yuqing Zhang
49
3
0
12 Jul 2023
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention
Degan Hao
M. Negahdar
21
0
0
07 Jul 2023
Deep Attention Q-Network for Personalized Treatment Recommendation
Deep Attention Q-Network for Personalized Treatment Recommendation
Simin Ma
Junghwan Lee
N. Serban
Shihao Yang
OffRL
38
5
0
04 Jul 2023
Length of Stay prediction for Hospital Management using Domain
  Adaptation
Length of Stay prediction for Hospital Management using Domain Adaptation
Lyse Naomi Wamba Momo
Nyalleng Moorosi
E. Nsoesie
F. Rademakers
B. De Moor
OOD
12
1
0
29 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
37
21
0
20 Jun 2023
PyTrial: Machine Learning Software and Benchmark for Clinical Trial
  Applications
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications
Zifeng Wang
B. Theodorou
Tianfan Fu
Cao Xiao
Jimeng Sun
LM&MA
32
2
0
06 Jun 2023
Temporal-spatial Correlation Attention Network for Clinical Data
  Analysis in Intensive Care Unit
Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit
Weizhi Nie
Yu-Yi Yu
Chen Zhang
Dan Song
Lina Zhao
Yunru Bai
32
7
0
03 Jun 2023
Copy Recurrent Neural Network Structure Network
Xiaofan Zhou
Xunzhu Tang
19
0
0
22 May 2023
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge
  Graphs
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Pengcheng Jiang
Cao Xiao
Adam Cross
Jimeng Sun
AI4MH
31
21
0
22 May 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large
  Language Models
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Oana Ignat
Zhijing Jin
Artem Abzaliev
Laura Biester
Santiago Castro
...
Verónica Pérez-Rosas
Siqi Shen
Zekun Wang
Winston Wu
Rada Mihalcea
LRM
43
6
0
21 May 2023
What We Know So Far: Artificial Intelligence in African Healthcare
What We Know So Far: Artificial Intelligence in African Healthcare
Naome A. Etori
Ebasa Temesgen
Maria Gini
20
5
0
10 May 2023
Extracting Diagnosis Pathways from Electronic Health Records Using Deep
  Reinforcement Learning
Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning
Lillian Muyama
A. Neuraz
Adrien Coulet
18
0
0
10 May 2023
Effective Medical Code Prediction via Label Internal Alignment
Effective Medical Code Prediction via Label Internal Alignment
Guodong Liu
OffRL
26
0
0
09 May 2023
Predicting COVID-19 and pneumonia complications from admission texts
Predicting COVID-19 and pneumonia complications from admission texts
D. Umerenkov
O. Cherkashin
Alexander Nesterov
Victor A. Gombolevskiy
I. Demko
Alexander Yalunin
V. Kokh
13
0
0
05 May 2023
Filling out the missing gaps: Time Series Imputation with
  Semi-Supervised Learning
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning
Karan Aggarwal
Jaideep Srivastava
AI4TS
35
0
0
09 Apr 2023
Synthetic Data in Healthcare
Synthetic Data in Healthcare
Daniel J. McDuff
Theodore R. Curran
A. Kadambi
MedIm
SyDa
60
17
0
06 Apr 2023
Automatic ICD-10 Code Association: A Challenging Task on French Clinical
  Texts
Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts
Yakini Tchouka
Jean-François Couchot
David Laiymani
Philippe Selles
Azzedine Rahmani
41
3
0
06 Apr 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
33
32
0
22 Mar 2023
ExBEHRT: Extended Transformer for Electronic Health Records to Predict
  Disease Subtypes & Progressions
ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions
M. Rupp
Oriane Peter
T. Pattipaka
30
9
0
22 Mar 2023
Rediscovery of CNN's Versatility for Text-based Encoding of Raw
  Electronic Health Records
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records
Eunbyeol Cho
Min Jae Lee
Kyunghoon Hur
Jiyoun Kim
Jinsung Yoon
Edward Choi
24
0
0
15 Mar 2023
Is In-hospital Meta-information Useful for Abstractive Discharge Summary
  Generation?
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?
Kenichiro Ando
Mamoru Komachi
T. Okumura
Hiromasa Horiguchi
Yuji Matsumoto
17
2
0
10 Mar 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic
  Healthcare Records with Transformer
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer
Zhaoyang Chen
Lina Siltala-Li
Mikko Lassila
Pekka Malo
Eeva Vilkkumaa
T. Saaresranta
A. Virkki
29
4
0
28 Jan 2023
Enhancing the prediction of disease outcomes using electronic health
  records and pretrained deep learning models
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models
Zhichao Yang
Weisong Liu
D. Berlowitz
Hongfeng Yu
AI4CE
22
0
0
22 Dec 2022
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
11
4
0
30 Nov 2022
UniHPF : Universal Healthcare Predictive Framework with Zero Domain
  Knowledge
UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
Kyunghoon Hur
Jungwoo Oh
Junu Kim
Jiyoun Kim
Min Jae Lee
Eunbyeol Cho
Seong-Eun Moon
Young-Hak Kim
Edward Choi
37
5
0
15 Nov 2022
EDEN : An Event DEtection Network for the annotation of Breast Cancer
  recurrences in administrative claims data
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data
Elise Dumas
A. Hamy
S. Houzard
Eva Hernandez
A. Toussaint
...
M. Saint-Ghislain
B. Grandal
Eric Daoud
F. Reyal
Chloé-Agathe Azencott
OOD
18
2
0
15 Nov 2022
Universal EHR Federated Learning Framework
Universal EHR Federated Learning Framework
Junu Kim
Kyunghoon Hur
Seongjun Yang
Edward Choi
FedML
24
2
0
14 Nov 2022
Improving Medical Predictions by Irregular Multimodal Electronic Health
  Records Modeling
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
Xinlu Zhang
Shiyang Li
Zhiyu Zoey Chen
Xifeng Yan
Linda R. Petzold
AI4TS
57
27
0
18 Oct 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with
  Prompt Learning
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
Zifeng Wang
Jimeng Sun
27
30
0
11 Oct 2022
Artificial Intelligence for In Silico Clinical Trials: A Review
Artificial Intelligence for In Silico Clinical Trials: A Review
Zifeng Wang
Chufan Gao
Lucas Glass
Jimeng Sun
41
12
0
16 Sep 2022
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using
  Electronic Health Records in Intensive Care
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
Junyi Gao
Yinghao Zhu
Wenqing Wang
Yasha Wang
Wen Tang
Ewen M. Harrison
Liantao Ma
OOD
37
15
0
16 Sep 2022
Modelling Patient Trajectories Using Multimodal Information
Modelling Patient Trajectories Using Multimodal Information
J. F. Silva
S. Matos
11
5
0
09 Sep 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
Edward Choi
AI4TS
22
22
0
20 Jul 2022
Modeling Long-term Dependencies and Short-term Correlations in Patient
  Journey Data with Temporal Attention Networks for Health Prediction
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction
Yuxi Liu
Zhenhao Zhang
Antonio Jimeno Yepes
Flora D. Salim
28
10
0
13 Jul 2022
PLM-ICD: Automatic ICD Coding with Pretrained Language Models
PLM-ICD: Automatic ICD Coding with Pretrained Language Models
Chao-Wei Huang
Shang-Chi Tsai
Yun-Nung Chen
43
49
0
12 Jul 2022
On Efficient Approximate Queries over Machine Learning Models
On Efficient Approximate Queries over Machine Learning Models
Dujian Ding
S. Amer-Yahia
L. Lakshmanan
35
5
0
06 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Vincent Jeanselme
G. Martin
Niels Peek
M. Sperrin
Brian D. M. Tom
Jessica Barrett
OOD
34
4
0
26 May 2022
Individualized Risk Assessment of Preoperative Opioid Use by
  Interpretable Neural Network Regression
Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression
Yuming Sun
Jian Kang
Chad Brummett
Yi Li
AI4CE
12
1
0
07 May 2022
CATNet: Cross-event Attention-based Time-aware Network for Medical Event
  Prediction
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
Sicen Liu
Xiaolong Wang
Yang Xiang
Huiqin Xu
Hui Wang
Buzhou Tang
AI4TS
30
10
0
29 Apr 2022
Determinantal Point Process Likelihoods for Sequential Recommendation
Determinantal Point Process Likelihoods for Sequential Recommendation
Yuli Liu
Christian J. Walder
Lexing Xie
29
13
0
25 Apr 2022
SurvLatent ODE : A Neural ODE based time-to-event model with competing
  risks for longitudinal data improves cancer-associated Venous Thromboembolism
  (VTE) prediction
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction
I. Moon
S. Groha
A. Gusev
BDL
28
10
0
20 Apr 2022
Unsupervised Probabilistic Models for Sequential Electronic Health
  Records
Unsupervised Probabilistic Models for Sequential Electronic Health Records
Alan Kaplan
John D Greene
Vincent X. Liu
Priyadip Ray
34
2
0
15 Apr 2022
Hierarchical BERT for Medical Document Understanding
Hierarchical BERT for Medical Document Understanding
Ning Zhang
Maciej Jankowski
19
10
0
11 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
48
5
0
04 Mar 2022
Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
Sicen Liu
Xiaolong Wang
Yongshuai Hou
Ge Li
Hui Wang
Huiqin Xu
Yang Xiang
Buzhou Tang
52
30
0
25 Jan 2022
Label Dependent Attention Model for Disease Risk Prediction Using
  Multimodal Electronic Health Records
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
Shuai Niu
Qing Yin
Yunya Song
Yike Guo
Xian Yang
34
10
0
18 Jan 2022
A Unified Review of Deep Learning for Automated Medical Coding
A Unified Review of Deep Learning for Automated Medical Coding
Shaoxiong Ji
Wei Sun
Xiaobo Li
Hang Dong
Ara Taalas
Yijia Zhang
Honghan Wu
Esa Pitkänen
Pekka Marttinen
AI4TS
MedIm
41
27
0
08 Jan 2022
Context-aware Health Event Prediction via Transition Functions on
  Dynamic Disease Graphs
Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Chang Lu
Tian Han
Yue Ning
26
40
0
09 Dec 2021
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of
  Reinforcement Learning and Classification
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification
Hongyi Yuan
Sheng Yu
27
15
0
01 Dec 2021
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