Problems of Social Hygiene, Public Health and History of MedicineProblems of Social Hygiene, Public Health and History of Medicine0869-866X2412-2106Joint-Stock Company Chicot88410.32687/0869-866X-2022-30-2-292-296Научная статьяThe ways of developing organizational principles of coloproctologic care of patients with large intestine neoplasmsLisichkinA. L.euromedservis@yandex.ruThe Center of Coproproctology of The Society with Limited Liability “The Medical Center “Evromedservis””1503202230229229625042022Copyright © 2022,2022The colorectal cancer remains one of leading problems of modern coloproctology and oncology. The polyps are one of pathology of colon widespread in population and predictor of colorectal cancer. Their timely detection and removal is considered as only effective measure of prevention of colon malignant neoplasms. The morbidity of colon malignant neoplasms in the Perm Kray was monitored in 2004-2018. Its structure and dynamics were evaluated. The software is described that allows both physicians and patients to evaluate probability of detecting colon neoplasms that contributes to expansion of the research database of coloproctologic studies. The ways of increasing effectiveness of predicting incidence of colorectal cancer and colon polyps were proposed on the basis of neural networks, that permit to increase detection of corresponding pathology by personalizing screening.colorectal cancercolon polypsmorbiditydynamicspredictionneural networkspersonalizationscreeningколоректальный ракполипы толстой кишкизаболеваемостьдинамика заболеваемостипрогнозированиенейронные сетиперсонализация скрининга1.Aleksandrova K., Reichmann R., Kaaks R. Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score. BMC Med. 2021. doi: 10.1186/s12916-020-01826-02.Гаязова А. Ф., Болотнова Т. В. Выявление пациентов с высоким риском развития предраковых заболеваний толстой кишки на амбулаторном этапе. Кубанский научный медицинский вестник. 2019;26(6):28-36.3.Marsano J.Comparison of colon adenoma detection rates using cap-assisted and Endocuff-assisted colonoscopy: a randomized controlled trial. Endosc.Int. Open. 2019;7(12):1585-91.4.Салмин Р. М., Салмина А. В. Полипы толстой кишки: распределение пациентов по возрасту, полу, месту проживания (Гродненская область в 2020 году). Евразийский Союз Ученых (ЕСУ). 2020;80(11):46-7.5.Perea García J. Association of Polyps with Early-Onset Colorectal Cancer and Throughout Surveillance: Novel Clinical and Molecular Implications. Cancers (Basel). 2019;11(12):1900.6.Montminy E. M., Jang A., Conner M., Karlitz J. J. Screening for Colorectal Cancer. Med. Clin. North Am. 2020;104(6):1023-36.7.Головко В. А. Нейронные сети: обучение, организация и применение. М.: ИПРЖР; 2001. 256 с.8.Петров С. Б., Шешунов И. В. Оценка эффективности применения искусственных нейронных сетей в медико-экологических исследованиях. Фундаментальные исследования. 2013;(9-6):1098-101.9.Lundberg S. M. Explainable. Machinelearning predictions for the prevention of hypoxaemia during surgery. Nat. Biomed. Eng. 2018;2:749-60.10.Кондратьев М. А. Методы прогнозирования и модели распространения заболеваний. Компьютерные исследования и моделирование. 2013;5(5):863-82.