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Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction
  from Clinical Notes by Machines

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

10 July 2021
Byung-Hak Kim
Varun Ganapathi
ArXiv (abs)PDFHTML

Papers citing "Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines"

13 / 13 papers shown
Title
Biomedical Entity Linking as Multiple Choice Question Answering
Biomedical Entity Linking as Multiple Choice Question Answering
Zhenxi Lin
Ziheng Zhang
Xian Wu
Yefeng Zheng
74
2
0
23 Feb 2024
Segmented Harmonic Loss: Handling Class-Imbalanced Multi-Label Clinical
  Data for Medical Coding with Large Language Models
Segmented Harmonic Loss: Handling Class-Imbalanced Multi-Label Clinical Data for Medical Coding with Large Language Models
Surjya Ray
Pratik Mehta
Hongen Zhang
Ada Chaman
Jian Wang
Chung-Jen Ho
Michael Chiou
T. Suleman
21
1
0
06 Oct 2023
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Hejie Cui
Jiaying Lu
Shiyu Wang
Shiyu Wang
Wenjing Ma
...
Fei Wang
Carl Yang
Mengdi Huai
Fei Wang
Carl Yang
133
12
0
07 Jun 2023
Copy Recurrent Neural Network Structure Network
Xiaofan Zhou
Xunzhu Tang
62
0
0
22 May 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
78
39
0
21 Apr 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
74
18
0
24 Nov 2022
Medical Codes Prediction from Clinical Notes: From Human Coders to
  Machines
Medical Codes Prediction from Clinical Notes: From Human Coders to Machines
Byung-Hak Kim
MedIm
66
0
0
30 Oct 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
98
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
174
55
0
07 Oct 2022
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD
  Coding
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding
Weiming Ren
Ruijing Zeng
Tong Wu
Tianshu Zhu
Rahul G. Krishnan
277
6
0
03 Aug 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
90
51
0
12 Jul 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
105
71
0
21 Mar 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
AI4TSMedIm
111
29
0
08 Jan 2022
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