Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer

Rasheed Omobolaji Alabi; Mohammed Elmusrati; Iris Sawazaki-Calone; Luiz Paulo Kowalski; Caj Haglund; Ricardo D. Coletta; Antti A. Mäkitie; Tuula Salo; Alhadi Almangush; Ilmo Leivo

doi:10.1016/j.ijmedinf.2019.104068

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer

Rasheed Omobolaji Alabi
, Mohammed Elmusrati
, Iris Sawazaki-Calone
, Luiz Paulo Kowalski
, Caj Haglund
, Ricardo D. Coletta
, Antti A. Mäkitie
, Tuula Salo
, Alhadi Almangush
, Ilmo Leivo

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

Original language	English
Article number	104068
Journal	International Journal of Medical Informatics
Volume	136
Number of pages	8
ISSN	1386-5056
DOIs	https://doi.org/10.1016/j.ijmedinf.2019.104068
Publication status	Published - Apr 2020
MoE publication type	A1 Journal article-refereed

Fields of Science

Artificial intelligence
Oral tongue cancer
Machine learning
Prediction
SQUAMOUS-CELL CARCINOMA
SURVIVAL
METASTASIS
MODEL
INVASION
3141 Health care science

Access to Document

10.1016/j.ijmedinf.2019.104068

Alabi et al, Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancerAccepted author manuscript, 1.61 MBLicence: CC BY-NC-ND

Cite this

Alabi, R. O., Elmusrati, M., Sawazaki-Calone, I., Kowalski, L. P., Haglund, C., Coletta, R. D., Mäkitie, A. A., Salo, T., Almangush, A., & Leivo, I. (2020). Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. International Journal of Medical Informatics, 136, Article 104068. https://doi.org/10.1016/j.ijmedinf.2019.104068

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title = "Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer",

keywords = "Artificial intelligence, Oral tongue cancer, Machine learning, Prediction, SQUAMOUS-CELL CARCINOMA, SURVIVAL, METASTASIS, MODEL, INVASION, 3141 Health care science",

author = "Alabi, \{Rasheed Omobolaji\} and Mohammed Elmusrati and Iris Sawazaki-Calone and Kowalski, \{Luiz Paulo\} and Caj Haglund and Coletta, \{Ricardo D.\} and M{\"a}kitie, \{Antti A.\} and Tuula Salo and Alhadi Almangush and Ilmo Leivo",

year = "2020",

month = apr,

doi = "10.1016/j.ijmedinf.2019.104068",

language = "English",

volume = "136",

journal = "International Journal of Medical Informatics",

issn = "1386-5056",

publisher = "Elsevier Ireland Ltd. ",

}

Alabi, RO, Elmusrati, M, Sawazaki-Calone, I, Kowalski, LP, Haglund, C, Coletta, RD, Mäkitie, AA , Salo, T, Almangush, A & Leivo, I 2020, 'Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer', International Journal of Medical Informatics, vol. 136, 104068. https://doi.org/10.1016/j.ijmedinf.2019.104068

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. / Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Sawazaki-Calone, Iris et al.
In: International Journal of Medical Informatics, Vol. 136, 104068, 04.2020.

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

TY - JOUR

T1 - Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer

AU - Alabi, Rasheed Omobolaji

AU - Elmusrati, Mohammed

AU - Sawazaki-Calone, Iris

AU - Kowalski, Luiz Paulo

AU - Haglund, Caj

AU - Coletta, Ricardo D.

AU - Mäkitie, Antti A.

AU - Salo, Tuula

AU - Almangush, Alhadi

AU - Leivo, Ilmo

PY - 2020/4

Y1 - 2020/4

KW - Artificial intelligence

KW - Oral tongue cancer

KW - Machine learning

KW - Prediction

KW - SQUAMOUS-CELL CARCINOMA

KW - SURVIVAL

KW - METASTASIS

KW - MODEL

KW - INVASION

KW - 3141 Health care science

U2 - 10.1016/j.ijmedinf.2019.104068

DO - 10.1016/j.ijmedinf.2019.104068

M3 - Article

SN - 1386-5056

VL - 136

JO - International Journal of Medical Informatics

JF - International Journal of Medical Informatics

M1 - 104068

ER -