Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. (arXiv:2304.10909v1 [cs.LG])

Medical coding is the task of assigning medical codes to clinical free-text
documentation. Healthcare professionals manually assign such codes to track
patient diagnoses and treatments. Automated medical coding can considerably
alleviate this administrative burden. In this paper, we reproduce, compare, and
analyze state-of-the-art automated medical coding machine learning models. We
show that several models underperform due to weak configurations, poorly
sampled train-test splits, and insufficient evaluation. In previous work, the
macro F1 score has been calculated sub-optimally, and our correction …

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