A Comprehensive Review of Automated ICD -10 Categorization Model: Methodologies, Challenges, and Future Directions

dc.contributor.author	Chinthika, AHS
dc.contributor.author	Dissanayake, DMKS
dc.contributor.author	Madhubashitha, WNNA
dc.contributor.author	Kaumal, WMS
dc.contributor.author	Sandamali, ERC
dc.date.accessioned	2025-01-15T07:04:46Z
dc.date.available	2025-01-15T07:04:46Z
dc.date.issued	2024-09
dc.identifier.uri	http://ir.kdu.ac.lk/handle/345/7939
dc.language.iso	en	en_US
dc.subject	ICD – 10 codes, classification method	en_US
dc.subject	ICD – 10 code assignment	en_US
dc.subject	Machine learning	en_US
dc.title	A Comprehensive Review of Automated ICD -10 Categorization Model: Methodologies, Challenges, and Future Directions	en_US
dc.type	Article Abstract	en_US
dc.identifier.faculty	Faculty of Computing	en_US
dc.identifier.journal	17th International Research Conference ( September 26–27, 2024 )	en_US
dc.identifier.pgnos	13	en_US