Article

Comparative Study of Machine Learning Models for Textual Medical Notes Classification

2025-11-18

Abstract excerpt

The expansion of electronic health records (EHRs) has generated a large amount of unstructured textual data, such as clinical notes and medical reports, which contain diagnostic and prognostic information. Effective classification of these textual medical notes is critical for improving clinical decision support and healthcare data management. This study presents a comparative analysis of four traditional machine...

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Literature Corpus work: 33f86210-ddbc-5941-b342-a84a60bc267c
DOI: 10.20944/preprints202511.1173.v1

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