Abstract

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Selskyy P, Vakulenko D, Televiak A, Veresiuk T. On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering. Family Medicine & Primary Care Review. 2018;20(2):171-175. doi:10.5114/fmpcr.2018.76463. APA Selskyy, P., Vakulenko, D., Televiak, A., & Veresiuk, T. (2018). On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering. Family Medicine & Primary Care Review, 20(2), 171-175. https://doi.org/10.5114/fmpcr.2018.76463 Chicago Selskyy, Petro, Dmytro Vakulenko, Anatolii Televiak, and Taras Veresiuk. 2018. "On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering". Family Medicine & Primary Care Review 20 (2): 171-175. doi:10.5114/fmpcr.2018.76463. Harvard Selskyy, P., Vakulenko, D., Televiak, A., and Veresiuk, T. (2018). On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering. Family Medicine & Primary Care Review, 20(2), pp.171-175. https://doi.org/10.5114/fmpcr.2018.76463 MLA Selskyy, Petro et al. "On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering." Family Medicine & Primary Care Review, vol. 20, no. 2, 2018, pp. 171-175. doi:10.5114/fmpcr.2018.76463. Vancouver Selskyy P, Vakulenko D, Televiak A, Veresiuk T. On an algorithm for decision-making for the optimization of disease prediction at the primary health care level using neural network clustering. Family Medicine & Primary Care Review. 2018;20(2):171-175. doi:10.5114/fmpcr.2018.76463.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.