Support Vector Machines and Naïve Bayes Classifier for Classifying a Prostate Cancer-Reference-Cited by-同舟云学术

Support Vector Machines and Naïve Bayes Classifier for Classifying a Prostate Cancer

Published:2022 Issue: Volume: Page:854-860
ISSN:2194-5357
Container-title:Advanced Intelligent Systems for Sustainable Development (AI2SD’2020)
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Author:

Rustam Zuherman,Darmawan Nurlia Angie,Hartini Sri,Aurelia Jane Eva

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90633-7_72

Reference13 articles.

1. Prostate Cancer UK. Accessed 19 Nov 2019, https://prostatecanceruk.org/prostate-information/about-prostate-cancer

2. The Official Foundation of the American Urological Association. Accessed 17 Jan 2020, https://www.urologyhealth.org/urologic-conditions/prostate-cancer

3. Kenneth, J., and Peggy, S. 1993. Risk Factors for Prostate Cancer. SN 0003–4819

4. NHS Prostate Cancer. Accessed 3 Jan 2020, https://www.nhs.uk/conditions/prostatecancer/diagnosis/

5. de Lima, C.O., Devita, K.L., Vasconcelos, L.R.B., do Prado, M., Campos, C.N.: Correlation between endodontic infection and periodontal disease and their association with chronic sinusitis. Clin.-Tomographic Study Am. Assoc. Endodontists (2017)

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