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Dynamically Extracting Outcome-Specific Problem Lists from Clinical
  Notes with Guided Multi-Headed Attention

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention

Machine Learning in Health Care (MLHC), 2020
25 July 2020
Justin Lovelace
N. Hurley
A. Haimovich
B. Mortazavi
ArXiv (abs)PDFHTML

Papers citing "Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention"

4 / 4 papers shown
Title
Evaluation and LLM-Guided Learning of ICD Coding Rationales
Evaluation and LLM-Guided Learning of ICD Coding Rationales
Mingyang Li
Viktor Schlegel
Tingting Mu
Wuraola Oyewusi
Kai Kang
Goran Nenadic
64
0
0
22 Aug 2025
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
226
10
0
22 Nov 2023
Autoencoder-based prediction of ICU clinical codes
Autoencoder-based prediction of ICU clinical codesConference on Artificial Intelligence in Medicine in Europe (AIME), 2023
T. R. Yordanov
A. Abu-Hanna
A. Ravelli
Iacopo Vagliano
80
2
0
08 May 2023
Automated Clinical Coding: What, Why, and Where We Are?
Automated Clinical Coding: What, Why, and Where We Are?npj Digital Medicine (NDM), 2022
Hang Dong
Matús Falis
W. Whiteley
Beatrice Alex
Joshua Matterson
Shaoxiong Ji
Jiaoyan Chen
Honghan Wu
220
98
0
21 Mar 2022
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