A unified review of deep learning for automated medical coding
Automated medical coding, an essential task for healthcare operation and delivery, makes
unstructured data manageable by predicting medical codes from clinical documents. Recent …
unstructured data manageable by predicting medical codes from clinical documents. Recent …
Don't Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label Text Classification
State-of-the-art Extreme Multi-Label Text Classification (XMTC) models rely heavily on multi-
label attention layers to focus on key tokens in input text, but obtaining optimal attention …
label attention layers to focus on key tokens in input text, but obtaining optimal attention …
Applications of BERT Models Towards Automation of Clinical Coding in Icelandic
This study explores the potential of automating clinical coding in Icelandic, a language with
limited digital resources, by leveraging over 25 years of electronic health records (EHR) from …
limited digital resources, by leveraging over 25 years of electronic health records (EHR) from …
Knowledge-Guided Deep Learning for Health Data Mining and Augmentation
C Lu - 2024 - search.proquest.com
The widespread application of Electronic Health Records (EHR) in healthcare facilities has
sparked a growing interest in employing deep learning for health event prediction. Health …
sparked a growing interest in employing deep learning for health event prediction. Health …
Contrastive Learning with Large Language Models for Medical Codeprediction
Y Wu, J Zhang, X Yao, X Chen, Z Chen - Available at SSRN 5009592 - papers.ssrn.com
Medical code prediction is an important method for unstructured Electronic Health Records
(EHRs) analysis. It is a disease classification method introduced by WHO that can associate …
(EHRs) analysis. It is a disease classification method introduced by WHO that can associate …