Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival

doi:10.5306/wjco.v11.i11.918

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Nov 24, 2020 (publication date) through Jul 29, 2024

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World Journal of Clinical Oncology

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2218-4333

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Oncol. Nov 24, 2020; 11(11): 918-934
Published online Nov 24, 2020. doi: 10.5306/wjco.v11.i11.918

Table 3 Demographic characteristics of the sample (n = 177714)

Variable	Mean	SD	Median	n	%
Survival months/mo	60.35	40.98	54.00
Age at diagnosis/yr	54.62	16.10	55.00
Tumor size/(ID, cm)	22.56	21.74	19.00
Marital status
Single				35688	20.08
Married				110480	62.17
Separated				1746	0.98
Divorced				16401	9.23
Widowed				13055	7.35
Unmarried or domestic partner				344	0.19
Sex
Male				72179	40.62
Female				105535	59.38
Race
White				148556	83.60
Black				16051	9.03
Other				13107	7.38

SD: Standard deviation; ID: Diameter.

Citation: Hung M, Park J, Hon ES, Bounsanga J, Moazzami S, Ruiz-Negrón B, Wang D. Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival. World J Clin Oncol 2020; 11(11): 918-934
URL: https://www.wjgnet.com/2218-4333/full/v11/i11/918.htm
DOI: https://dx.doi.org/10.5306/wjco.v11.i11.918