The application of data mining techniques to oral cancer prognosis

Journal of Medical Systems
Wan-Ting TsengChun-Nan Lin

Abstract

This study adopted an integrated procedure that combines the clustering and classification features of data mining technology to determine the differences between the symptoms shown in past cases where patients died from or survived oral cancer. Two data mining tools, namely decision tree and artificial neural network, were used to analyze the historical cases of oral cancer, and their performance was compared with that of logistic regression, the popular statistical analysis tool. Both decision tree and artificial neural network models showed superiority to the traditional statistical model. However, as to clinician, the trees created by the decision tree models are relatively easier to interpret compared to that of the artificial neural network models. Cluster analysis also discovers that those stage 4 patients whose also possess the following four characteristics are having an extremely low survival rate: pN is N2b, level of RLNM is level I-III, AJCC-T is T4, and cells mutate situation (G) is moderate.

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Citations

Aug 9, 2016·Journal of Medical Systems·Joana DizAlberto Freitas
Oct 21, 2016·Pediatric Emergency Care·Ilaria BergesePaola Berchialla
Nov 28, 2019·Cancer Biomarkers : Section a of Disease Markers·Xiaoting LiZhe Jiang
Dec 21, 2018·Clinical and Experimental Emergency Medicine·Eun Seok OhSu Yeon Park
Dec 12, 2019·Middle East Journal of Digestive Diseases·Atieh Sadat FatemianAlireza Delavari
May 8, 2019·Scientific Reports·Dong Wook KimHyung Jun Kim
Nov 22, 2020·Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology·Huda AlkhadarAlexander Gardner
Jan 5, 2021·Journal of Oral Pathology & Medicine : Official Publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology·Anwar AlhazmiShankargouda Patil
May 19, 2021·Artificial Intelligence in Medicine·Rasheed Omobolaji AlabiAlhadi Almangush
Aug 30, 2021·International Journal of Medical Informatics·John AdeoyePeter Thomson
Sep 4, 2020·Journal of Biomedical Informatics·Ishleen KaurTanvir Ahmad

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