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A Unified Review of Deep Learning for Automated Medical Coding

A Unified Review of Deep Learning for Automated Medical Coding

8 January 2022
Shaoxiong Ji
Wei Sun
Xiaobo Li
Hang Dong
Ara Taalas
Yijia Zhang
Honghan Wu
Esa Pitkänen
Pekka Marttinen
    AI4TS
    MedIm
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Papers citing "A Unified Review of Deep Learning for Automated Medical Coding"

23 / 23 papers shown
Title
MedCodER: A Generative AI Assistant for Medical Coding
MedCodER: A Generative AI Assistant for Medical Coding
Krishanu Das Baksi
Elijah Soba
John J. Higgins
Ravi Saini
Jaden Wood
...
Jack Scott
Nirmala Pudota
Tim Weninger
Edward Bowen
Sanmitra Bhattacharya
MedIm
26
2
0
18 Sep 2024
Exploring the Consistency, Quality and Challenges in Manual and
  Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters
Exploring the Consistency, Quality and Challenges in Manual and Automated Coding of Free-text Diagnoses from Hospital Outpatient Letters
Warren Del-Pinto
G. Demetriou
M. Jani
Rikesh Patel
Leanne Gray
Alexander Bulcock
Niels Peek
A. Kanter
William G Dixon
Goran Nenadic
8
1
0
17 Nov 2023
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive
  Learning
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
C. Lu
Chandan K. Reddy
Ping Wang
Yue Ning
16
2
0
14 Oct 2023
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis
  Prediction
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
Xueren Ge
Satpathy Abhishek
Ronald D. Williams
John A. Stankovic
H. Alemzadeh
16
1
0
10 Oct 2023
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges
  and Opportunities
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
Jiaoyan Chen
Hang Dong
Janna Hastings
Ernesto Jiménez-Ruiz
Vanessa Lopez
Pierre Monnin
Catia Pesquita
Petr vSkoda
Valentina A. M. Tamma
13
6
0
29 Sep 2023
MHLAT: Multi-hop Label-wise Attention Model for Automatic ICD Coding
MHLAT: Multi-hop Label-wise Attention Model for Automatic ICD Coding
Junwen Duan
Han Jiang
Ying Yu
13
2
0
16 Sep 2023
Content Reduction, Surprisal and Information Density Estimation for Long
  Documents
Content Reduction, Surprisal and Information Density Estimation for Long Documents
Shaoxiong Ji
Wei Sun
Pekka Marttinen
9
2
0
12 Sep 2023
MDACE: MIMIC Documents Annotated with Code Evidence
MDACE: MIMIC Documents Annotated with Code Evidence
Hua Cheng
Rana Jafari
April Russell
Russell Klopfer
Edmond Lu
Benjamin Striner
Matthew R. Gormley
25
7
0
07 Jul 2023
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review
  and Replicability Study
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Joakim Edin
Alexander Junge
Jakob Drachmann Havtorn
Lasse Borgholt
Maria Maistro
Tuukka Ruotsalo
Lars Maaløe
10
36
0
21 Apr 2023
An Automatic ICD Coding Network Using Partition-Based Label Attention
An Automatic ICD Coding Network Using Partition-Based Label Attention
Daeseong Kim
Haanju Yoo
Sewon Kim
14
5
0
15 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
24
6
0
28 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
Automated Clinical Coding: What, Why, and Where We Are?
Automated Clinical Coding: What, Why, and Where We Are?
Hang Dong
Matús Falis
W. Whiteley
Beatrice Alex
Joshua Matterson
Shaoxiong Ji
Jiaoyan Chen
Honghan Wu
9
64
0
21 Mar 2022
Contextual Semantic Embeddings for Ontology Subsumption Prediction
Contextual Semantic Embeddings for Ontology Subsumption Prediction
Jiaoyan Chen
Yuan He
Yuxia Geng
Ernesto Jiménez-Ruiz
Hang Dong
Ian Horrocks
30
49
0
20 Feb 2022
When in Doubt: Improving Classification Performance with Alternating
  Normalization
When in Doubt: Improving Classification Performance with Alternating Normalization
Menglin Jia
A. Reiter
Ser-Nam Lim
Yoav Artzi
Claire Cardie
22
13
0
28 Sep 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
14
6
0
08 Jul 2021
PyHealth: A Python Library for Health Predictive Models
PyHealth: A Python Library for Health Predictive Models
Yue Zhao
Zhi Qiao
Cao Xiao
Lucas Glass
Jimeng Sun
LM&MA
VLM
OOD
AI4TS
AI4MH
14
22
0
11 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
246
1,982
0
28 Jul 2020
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CE
VLM
68
158
0
02 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
164
1,877
0
02 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
238
13,283
0
25 Aug 2014
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