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Bidirectional Recurrent Neural Networks for Medical Event Detection in
  Electronic Health Records
v1v2 (latest)

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

25 June 2016
Abhyuday N. Jagannatha
Hong-ye Yu
    BDL
ArXiv (abs)PDFHTML

Papers citing "Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records"

37 / 37 papers shown
Title
The Devil is in the Details: On the Pitfalls of Event Extraction
  Evaluation
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
Hao Peng
Xiaozhi Wang
Feng Yao
Kaisheng Zeng
Lei Hou
Juanzi Li
Zhiyuan Liu
Weixing Shen
99
19
0
12 Jun 2023
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event
  Detection
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection
Siyuan Wang
Jianming Zheng
Xuejun Hu
Fei Cai
Chengyu Song
Xueshan Luo
78
6
0
16 May 2023
Effective Medical Code Prediction via Label Internal Alignment
Effective Medical Code Prediction via Label Internal Alignment
Guodong Liu
OffRL
38
0
0
09 May 2023
Contextualized Medication Information Extraction Using Transformer-based
  Deep Learning Architectures
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures
Aokun Chen
Zehao Yu
Xi Yang
Yi Guo
Jiang Bian
Yonghui Wu
52
24
0
14 Mar 2023
An Automatic SOAP Classification System Using Weakly Supervision And
  Transfer Learning
An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning
Sunjae Kwon
Zhichao Yang
Hong-ye Yu
102
2
0
26 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
57
2
0
15 Nov 2022
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems
Tryambak Gangopadhyay
S. De
Qisai Liu
A. Mukhopadhyay
S. Sen
Soumik Sarkar
118
1
0
03 Aug 2022
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
Jurijs Nazarovs
C. Lumezanu
Qianying Ren
Yuncong Chen
Takehiko Mizoguchi
Dongjin Song
Haifeng Chen
AI4TS
20
0
0
24 Jan 2022
Natural Language Processing for Smart Healthcare
Natural Language Processing for Smart Healthcare
Binggui Zhou
Guanghua Yang
Zheng Shi
Shaodan Ma
AI4MHLM&MA
86
117
0
19 Oct 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
84
159
0
07 Jul 2021
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical
  Notes: An Initial Study
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
D. Dessí
Rim Helaoui
Vivek Kumar (Ph.D)
Diego Reforgiato Recupero
Daniele Riboni
37
44
0
20 May 2021
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando
Harshala Gammulle
Simon Denman
Sridha Sridharan
Clinton Fookes
OOD
70
282
0
04 Dec 2020
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph
  Convolution Neural Networks
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
Viet Dac Lai
Tuan Ngo Nguyen
Thien Huu Nguyen
101
96
0
27 Oct 2020
Biomedical Event Extraction with Hierarchical Knowledge Graphs
Biomedical Event Extraction with Hierarchical Knowledge Graphs
Kung-Hsiang Huang
Mu Yang
Nanyun Peng
74
29
0
20 Sep 2020
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
A. Bagheri
T. K. Groenhof
W. B. Veldhuis
P. A. Jong
F. Asselbergs
Daniel L. Oberski
65
15
0
27 Aug 2020
Extracting Structured Data from Physician-Patient Conversations By
  Predicting Noteworthy Utterances
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Kundan Krishna
Amy Pavel
Benjamin Schloss
Jeffrey P. Bigham
Zachary Chase Lipton
64
19
0
14 Jul 2020
Interactive exploration of population scale pharmacoepidemiology
  datasets
Interactive exploration of population scale pharmacoepidemiology datasets
Tengel Ekrem Skar
Einar J. Holsbø
K. Svendsen
L. A. Bongo
8
0
0
20 May 2020
Towards Automatic Generation of Questions from Long Answers
Towards Automatic Generation of Questions from Long Answers
Shlok Kumar Mishra
Pranav Goel
Abhishek Sharma
Abhyuday N. Jagannatha
David Jacobs
Hal Daumé
43
8
0
10 Apr 2020
Building a Norwegian Lexical Resource for Medical Entity Recognition
Building a Norwegian Lexical Resource for Medical Entity Recognition
Ildikó Pilán
P. Brekke
Lilja Øvrelid
18
2
0
06 Apr 2020
Secondary Use of Electronic Health Record: Opportunities and Challenges
Secondary Use of Electronic Health Record: Opportunities and Challenges
S. M. Shah
Rizwan Ahmed Khan
60
79
0
26 Jan 2020
$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of
  Electronic Medical Records
MedGraph:\mathtt{MedGraph:}MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records
B. Hettige
Yuan-Fang Li
Weiqing Wang
Suong Le
Wray Buntine
126
18
0
08 Dec 2019
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related
  entity recognition in hospital discharge summaries
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
M. Belousov
Nikola Milosevic
G. Alfattni
Haifa Alrdahi
Goran Nenadic
18
3
0
23 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status
  and Future Directions
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
108
907
0
02 Sep 2019
Context awareness and embedding for biomedical event extraction
Context awareness and embedding for biomedical event extraction
Shankai Yan
Ka-Chun Wong
13
13
0
02 May 2019
Medical device surveillance with electronic health records
Medical device surveillance with electronic health records
A. Callahan
Jason Alan Fries
Christopher Ré
J. Huddleston
N. Giori
Scott L. Delp
N. Shah
71
54
0
03 Apr 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Katikapalli Subramanyam Kalyan
S. Sangeetha
82
83
0
04 Mar 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
177
1,498
0
10 Jan 2019
CarePre: An Intelligent Clinical Decision Assistance System
CarePre: An Intelligent Clinical Decision Assistance System
Zhuochen Jin
Jingshun Yang
Shuyuan Cui
David Gotz
Jimeng Sun
Nan Cao
72
31
0
06 Nov 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient
  Monitoring Data
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
86
168
0
23 Jul 2018
Clinical Text Classification with Rule-based Features and
  Knowledge-guided Convolutional Neural Networks
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks
Liang Yao
Chengsheng Mao
Yuan Luo
66
152
0
17 Jul 2018
Natural Language Processing for EHR-Based Computational Phenotyping
Natural Language Processing for EHR-Based Computational Phenotyping
Zexian Zeng
Yu Deng
Xiaoyu Li
Tristan Naumann
Yuan Luo
97
149
0
13 Jun 2018
Chief complaint classification with recurrent neural networks
Chief complaint classification with recurrent neural networks
Scott H. Lee
Drew Levin
Patrick D. Finley
C. Heilig
51
30
0
19 May 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with
  Exponential Families
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
Seong Jae Hwang
Ronak R. Mehta
Hyunwoo J. Kim
Vikas Singh
BDLUQCV
61
3
0
19 Apr 2018
Bayesian LSTMs in medicine
Bayesian LSTMs in medicine
J. Westhuizen
Joan Lasenby
BDLOOD
49
16
0
05 Jun 2017
Unsupervised Ensemble Ranking of Terms in Electronic Health Record Notes
  Based on Their Importance to Patients
Unsupervised Ensemble Ranking of Terms in Electronic Health Record Notes Based on Their Importance to Patients
Jinying Chen
Hong-ye Yu
AI4MH
41
19
0
01 Mar 2017
Structured prediction models for RNN based sequence labeling in clinical
  text
Structured prediction models for RNN based sequence labeling in clinical text
Abhyuday N. Jagannatha
Hong-ye Yu
90
200
0
01 Aug 2016
Learning for Biomedical Information Extraction: Methodological Review of
  Recent Advances
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances
F. Liu
Jinying Chen
Abhyuday N. Jagannatha
Hong-ye Yu
74
60
0
26 Jun 2016
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