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PREGESTATIONAL NEURAL NETWORK PREDICTION OF FETAL GROWTH RESTRICTION OR SMALL-FOR-GESTATIONAL-AGE FETUS WITH SUBSEQUENT INTENSIVE CARE OF THE NEWBORN
Ziyadinov A.A., Novikova V.A., Radzinsky V.E.
predictive clinical and management analytics. These tools can be used by clinicians in daily practice
Service Business Model - a New Approach to Improving Efficiency in the Digital Economy
Shcherbakova T.
Active development of digital technologies (cloud, big data processing, business analytics, etc
ПРОГНОЗНАЯ АНАЛИТИКА В УПРАВЛЕНИИ ЧЕЛОВЕЧЕСКИМ КАПИТАЛОМ ПРОМЫШЛЕННЫХ КОМПАНИЙ
Ожиганов Э.Н., Строева М.С.
and significance of HR analytics, as an emerging discipline, the core of which is the concept of predictive
Optimization of business processes via Big Data
Tsyrelchuk, I. N., Mamatova, N. M., Abdul-Azalova, M. Y.
predictive analytics
Predicting the matches entertainment on the example of the Russian premier league using machine learning methods and predictions application for sports broadcasts organization
Gorshkov S.
of the entertainment index for upcoming matches is predicted using a machine learning model based on historical data
Big Data как инструмент повышения эффективности маркетинговых мероприятий
Фролова, Д. А., Герман, Е. Ю.
Customer needs, descriptive analytics, predictive analytics, prescriptive analytics
Applying the Balanced Scorecard and Predictive Analytics in the Administration of a European Funding Program
Psarras Alkinoos
the Balanced Scorecard and predictive analytics in order to assess the performance of a co-financed European
Predictive accuracy of patient satisfaction in aphakic correction surgery using the random forest algorithm
Ilyasova, M. S., Gridjushko, S. M., Dudzich, A. N., Krasilnikova, V. L., Prudnik, A. M.
This study evaluates the efficacy of a random forest model in predicting patient satisfaction
Predictive Modelling of Weight-Loss-Therapy Results for Patients with Obesity.
Derevitskii I.V.
, medical professionals need methods to predict the future outcome of taking a drug. This study proposes a
Improving the quality of managerial decision-making when responding to leashes with the help of information and analytical support
Aleksandrov N.E.
information and predictive systems in response to floods. The article uses system and model research methods

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