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A Unified Review of Deep Learning for Automated Medical Coding
May 7, 2024, 4:50 a.m. | Shaoxiong Ji, Wei Sun, Xiaobo Li, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitk\"anen, Pekka Marttinen
cs.CL updates on arXiv.org arxiv.org
Abstract: Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents. Recent advances in deep learning and natural language processing have been widely applied to this task. However, deep learning-based medical coding lacks a unified view of the design of neural network architectures. This review proposes a unified framework to provide a general understanding of the building blocks of medical coding models and summarizes …
abstract advances and natural language processing arxiv automated clinical coding cs.cl cs.ir data deep learning delivery documents healthcare however language language processing medical medical coding natural natural language natural language processing processing review type unstructured unstructured data
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