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

doi:10.5306/wjco.v11.i11.918

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 11, Issue 11

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (9949)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-6) series, Tables (1-4) series.

Item

Count

PDF

396

WORD

193

HTML

5327

Figures (1-6)

323

Tables (1-4)

598

Sum=6837

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

399

Download

846

Sum=1245

Publishing Process of This Article

Item

Count

Browse

585

Download

1282

Sum=1867

Nov 24, 2020 (publication date) through Nov 3, 2024

Times Cited of This Article

Times Cited (20)

Journal Information of This Article

Publication Name

World Journal of Clinical Oncology

ISSN

2218-4333

Publisher of This Article

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

Retrospective Study

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

Full Size Figure Download Figure

Figure 1 Feature selection using random forest. CS: Coding system; ICD-O-3: International Classification of Diseases for Oncology, 3rd ed; WHO: World Health Organization; AJCC: American Joint Committee on Cancer; SEER: Surveillance, Epidemiology, and End Results; LN: Lymph node.

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