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

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

doi:10.1016/j.ijmedinf.2022.104896

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

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

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	104896
Journal	International Journal of Medical Informatics
Volume	168
Issue number	104896
Pages (from-to)	1
Number of pages	12
ISSN	1386-5056
DOIs	https://doi.org/10.1016/j.ijmedinf.2022.104896
Publication status	Published - 12 Dec 2022
MoE publication type	A1 Journal article-refereed

Fields of Science

3122 Cancers

Access to Document

10.1016/j.ijmedinf.2022.104896

1-s2.0-S1386505622002106-mainFinal published version, 2.2 MBLicence: CC BY

Cite this

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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.}",

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AU - Alabi, Rasheed Omobolaji

AU - Almangush, Alhadi

AU - Elmusrati, Mohammed

AU - Leivo, Ilmo

AU - Mäkitie, Antti A.

PY - 2022/12/12

Y1 - 2022/12/12

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

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JO - International Journal of Medical Informatics

JF - International Journal of Medical Informatics

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