Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach

Oral cavity cancer (OCC) is associated with high morbidity and mortality rates when diagnosed at late stages. Early detection of increased risk provides an opportunity for implementing prevention strategies surrounding modifiable risk factors and screening to promote early detection and intervention...

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Vydané v:	Journal of personalized medicine Ročník 12; číslo 4; s. 614
Hlavní autori:	Shimpi, Neel, Glurich, Ingrid, Rostami, Reihaneh, Hegde, Harshad, Olson, Brent, Acharya, Amit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 11.04.2022 MDPI
Predmet:	60 APPLIED LIFE SCIENCES Alcohol Algorithms Cancer therapies Clinics Data mining Data models Data warehouses Datasets Electronic medical records Head & neck cancer Hispanic Americans Informatics Learning algorithms Machine learning Morbidity Mortality Oral cancer Oral carcinoma Oral cavity patient care management Patients Phenotypes Precision medicine Primary care Risk assessment Risk factors Tobacco Tumors risk assessment precision medicine machine learning patient care management oral cancer
ISSN:	2075-4426, 2075-4426
On-line prístup:	Získať plný text
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