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The study developed a rule-based algorithm to automate the mapping of unstructured free text dermatological diagnoses to ICD-10 codes, achieving an accuracy of 82% when validated by dermatologists. It processed 50,884 hand-written diagnoses from a clinical database, revealing patterns in chronic inflammatory diseases and their seasonal variations. This approach enables the systematic analysis of legacy medical data, enhancing access to historical dermatological knowledge for current patient care.
- Author
- Sumanth Badugu
- Language
- EN