An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer

Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, Ilmo Leivo, Antti A. Mäkitie

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Tidskrift	International Journal of Medical Informatics
Volym	168
Antal sidor	12
ISSN	1386-5056
DOI	https://doi.org/10.1016/j.ijmedinf.2022.104896
Status	Publicerad - dec. 2022
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

@article{68a76af55be742768afc15f15a5bb0ac,

title = "An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer",

keywords = "Human Papillomavirus, Machine Learning, Oropharyngeal Cancer, Precision Medicine, Prognostication, 3122 Cancers",

author = "Alabi, {Rasheed Omobolaji} and Alhadi Almangush and Mohammed Elmusrati and Ilmo Leivo and M{\"a}kitie, {Antti A.}",

year = "2022",

month = dec,

doi = "10.1016/j.ijmedinf.2022.104896",

language = "English",

volume = "168",

journal = "International Journal of Medical Informatics",

issn = "1386-5056",

publisher = "ELSEVIER IRELAND LTD",

}

TY - JOUR

T1 - An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer

AU - Alabi, Rasheed Omobolaji

AU - Almangush, Alhadi

AU - Elmusrati, Mohammed

AU - Leivo, Ilmo

AU - Mäkitie, Antti A.

PY - 2022/12

Y1 - 2022/12

KW - Human Papillomavirus

KW - Machine Learning

KW - Oropharyngeal Cancer

KW - Precision Medicine

KW - Prognostication

KW - 3122 Cancers

U2 - 10.1016/j.ijmedinf.2022.104896

DO - 10.1016/j.ijmedinf.2022.104896

M3 - Article

C2 - 36279655

VL - 168

JO - International Journal of Medical Informatics

JF - International Journal of Medical Informatics

SN - 1386-5056

ER -