Predicting oral squamous cell carcinoma in tobacco users by utilising fuzzy-based decision tree algorithm

Autor:	M. Hanumanthappa, Vasantha Kavitha
Rok vydání:	2020
Předmět:	Computer science business.industry Decision tree learning Biomedical Engineering Decision tree Medicine (miscellaneous) Health Informatics Machine learning computer.software_genre Fuzzy logic Biomaterials stomatognathic diseases Tobacco users Basal cell Artificial intelligence business computer
Zdroj:	International Journal of Medical Engineering and Informatics. 12:435
ISSN:	1755-0661 1755-0653
DOI:	10.1504/ijmei.2020.10031556
Popis:	Oral squamous cell carcinoma (OSCC) is one of the major types of malignant and its significant percentage is responsible for the common causes of death worldwide. Many people in India have the habi...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c89afd7619b821d625ac7b84893e3934 https://doi.org/10.1504/ijmei.2020.10031556 Zobrazit plný text záznamu