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Explainable Prediction of Medical Codes from Clinical Text

Explainable Prediction of Medical Codes from Clinical Text

15 February 2018
J. Mullenbach
Sarah Wiegreffe
J. Duke
Jimeng Sun
Jacob Eisenstein
    FAtt
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Papers citing "Explainable Prediction of Medical Codes from Clinical Text"

50 / 55 papers shown
Title
HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
Qiuhui Chen
Jintao Wang
Gang Wang
Yi Hong
52
0
0
27 Apr 2025
The Rise of Small Language Models in Healthcare: A Comprehensive Survey
The Rise of Small Language Models in Healthcare: A Comprehensive Survey
Muskan Garg
Shaina Raza
Shebuti Rayana
Xingyi Liu
Sunghwan Sohn
LM&MA
AILaw
89
0
0
23 Apr 2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
Yue Li
L. Zhang
34
0
0
16 Apr 2025
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
Duc Hau Nguyen
Duc Hau Nguyen
Pascale Sébillot
47
5
0
23 Jan 2025
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
John Wu
David Wu
Jimeng Sun
44
1
0
31 Oct 2024
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
John Wu
David Wu
Jimeng Sun
98
0
0
16 Sep 2024
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using
  LLMs
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
Madhusudan Ghosh
Shrimon Mukherjee
Asmit Ganguly
Partha Basuchowdhuri
S. Naskar
Debasis Ganguly
29
7
0
15 Sep 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical
  Constraints
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
26
10
0
06 Dec 2023
Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Zhichao Yang
S. S. Batra
Joel Stremmel
Eran Halperin
ELM
24
5
0
22 Nov 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
24
5
0
20 Oct 2023
Copy Recurrent Neural Network Structure Network
Xiaofan Zhou
Xunzhu Tang
11
0
0
22 May 2023
An Exploration of Encoder-Decoder Approaches to Multi-Label
  Classification for Legal and Biomedical Text
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text
Yova Kementchedjhieva
Ilias Chalkidis
26
21
0
09 May 2023
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
Thanh-Tung Nguyen
Viktor Schlegel
Abhinav Ramesh Kashyap
Stefan Winkler
Shao-Syuan Huang
Jie-Jyun Liu
Chih-Jen Lin
24
14
0
27 Apr 2023
Multi label classification of Artificial Intelligence related patents
  using Modified D2SBERT and Sentence Attention mechanism
Multi label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism
Yongmin Yoo
Tak-Sung Heo
D. Lim
Deaho Seo
11
5
0
03 Mar 2023
Interpretability in Activation Space Analysis of Transformers: A Focused
  Survey
Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Soniya Vijayakumar
AI4CE
27
3
0
22 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI
  Methodologies
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies
Pradyumna Tambwekar
Matthew C. Gombolay
28
8
0
13 Jan 2023
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt
Zhichao Yang
Sunjae Kwon
Zonghai Yao
Hongfeng Yu
18
17
0
24 Nov 2022
Towards Explaining Subjective Ground of Individuals on Social Media
Towards Explaining Subjective Ground of Individuals on Social Media
Younghun Lee
Dan Goldwasser
23
1
0
18 Nov 2022
BERT for Long Documents: A Case Study of Automated ICD Coding
BERT for Long Documents: A Case Study of Automated ICD Coding
Arash Afkanpour
Shabir Adeel
H. Bassani
Arkady Epshteyn
Hongbo Fan
...
Sanjana Woonna
S. Zamani
Elli Kanal
M. Fomitchev
Donny Cheung
36
14
0
04 Nov 2022
Can Current Explainability Help Provide References in Clinical Notes to
  Support Humans Annotate Medical Codes?
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
Byung-Hak Kim
Zhongfen Deng
Philip S. Yu
Varun Ganapathi
ELM
35
6
0
28 Oct 2022
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
25
82
0
13 Oct 2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD
  Coding
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
Zhichao Yang
Shufan Wang
Bhanu Pratap Singh Rawat
Avijit Mitra
Hong-ye Yu
119
49
0
07 Oct 2022
Does Attention Mechanism Possess the Feature of Human Reading? A
  Perspective of Sentiment Classification Task
Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task
Leilei Zhao
Yingyi Zhang
Chengzhi Zhang
22
2
0
08 Sep 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
26
49
0
12 Jul 2022
CAVES: A Dataset to facilitate Explainable Classification and
  Summarization of Concerns towards COVID Vaccines
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
Soham Poddar
Azlaan Mustafa Samad
Rajdeep Mukherjee
Niloy Ganguly
Saptarshi Ghosh
17
26
0
28 Apr 2022
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
George Michalopoulos
Michal Malyska
Nicola Sahar
Alexander Wong
Helen H. Chen
17
20
0
21 Apr 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
Explainability in Graph Neural Networks: An Experimental Survey
Explainability in Graph Neural Networks: An Experimental Survey
Peibo Li
Yixing Yang
M. Pagnucco
Yang Song
21
31
0
17 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 and event-guided interpretable disease risk prediction
  using EHRs
Label-dependent and event-guided interpretable disease risk prediction using EHRs
Shuai Niu
Yunya Song
Qing Yin
Yike Guo
Xian Yang
22
2
0
18 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
21
9
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
19
27
0
08 Jan 2022
Explain, Edit, and Understand: Rethinking User Study Design for
  Evaluating Model Explanations
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Siddhant Arora
Danish Pruthi
Norman M. Sadeh
William W. Cohen
Zachary Chase Lipton
Graham Neubig
FAtt
30
38
0
17 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
31
55
0
05 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
19
15
0
01 Dec 2021
MultiEURLEX -- A multi-lingual and multi-label legal document
  classification dataset for zero-shot cross-lingual transfer
MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis
Manos Fergadiotis
Ion Androutsopoulos
AILaw
16
106
0
02 Sep 2021
PyEuroVoc: A Tool for Multilingual Legal Document Classification with
  EuroVoc Descriptors
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
Andrei-Marius Avram
V. Pais
D. Tufis
AILaw
VLM
19
17
0
02 Aug 2021
Parameter Selection: Why We Should Pay More Attention to It
Parameter Selection: Why We Should Pay More Attention to It
Jie-Jyun Liu
Tsung-Han Yang
Si-An Chen
Chih-Jen Lin
25
6
0
08 Jul 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 Z Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
19
154
0
07 Jul 2021
TransICD: Transformer Based Code-wise Attention Model for Explainable
  ICD Coding
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding
Biplob Biswas
Thai-Hoang Pham
Ping Zhang
11
29
0
28 Mar 2021
AIST: An Interpretable Attention-based Deep Learning Model for Crime
  Prediction
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction
Yeasir Rayhan
T. Hashem
10
22
0
16 Dec 2020
Cross-Loss Influence Functions to Explain Deep Network Representations
Cross-Loss Influence Functions to Explain Deep Network Representations
Andrew Silva
Rohit Chopra
Matthew C. Gombolay
TDI
13
15
0
03 Dec 2020
Large Scale Legal Text Classification Using Transformer Models
Large Scale Legal Text Classification Using Transformer Models
Zein Shaheen
G. Wohlgenannt
Erwin Filtz
AILaw
21
67
0
24 Oct 2020
Medical Code Assignment with Gated Convolution and Note-Code Interaction
Medical Code Assignment with Gated Convolution and Note-Code Interaction
Shaoxiong Ji
Shirui Pan
Pekka Marttinen
MedIm
22
18
0
14 Oct 2020
An Empirical Study on Large-Scale Multi-Label Text Classification
  Including Few and Zero-Shot Labels
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Ilias Chalkidis
Manos Fergadiotis
Sotiris Kotitsas
Prodromos Malakasiotis
Nikolaos Aletras
Ion Androutsopoulos
VLM
AI4TS
12
84
0
04 Oct 2020
Experimental Evaluation and Development of a Silver-Standard for the
  MIMIC-III Clinical Coding Dataset
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
Thomas Searle
Zina M. Ibrahim
Richard J. B. Dobson
11
27
0
12 Jun 2020
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Justin Lovelace
N. Hurley
A. Haimovich
B. Mortazavi
BDL
FAtt
13
2
0
30 Oct 2019
Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical
  Text Tagging with Applications in PICO Annotation
Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation
Gaurav Singh
Zahra Sabet
John Shawe-Taylor
James Thomas
13
7
0
21 Oct 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with
  Contextualized Embeddings
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Gregor Wiedemann
Steffen Remus
Avi Chawla
Chris Biemann
16
174
0
23 Sep 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and
  Evaluations
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
S. Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
11
325
0
12 Jun 2019
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