The escalating costs and complexities in the healthcare sector underscore the necessity for
efficient predictive models to anticipate medical insurance prices. This study explores the …

Intelligent search is a search with the possibility of linguistic analysis, modern algorithms for
parsing and finding words, recommendations based on user preferences. Such a search is a …

The paper reports three new ensembles of supervised learning predictors for managing
medical insurance costs. The open dataset is used for data analysis methods development …

Modern information and communication technologies are implemented in vatious spheres
(in particular, sectors of the critical infrastructute), but these technologies are vulnerable to …

This work offers a model for predicting the risk of a particular disease in a particular patient.
This work is aimed at improving practical skills in implementing machine-learning methods …

The COVID-19 pandemic has brought the issue of emerging diseases to the forefront of
global public health concerns. The virus's rapid spread, which originated in Wuhan, China …

Because modern human beings pay more and more attention to physical health, and there
are many problems in the traditional medical service system, human beings have a higher …

Abstract 1 This project is devoted to developing an intelligent information system for real-
time vehicle tracking using the event streaming platform to achieve high performance. It …

The mobile medical application (M-medical APP) can optimize medical service process and
reduce health management costs for users, which has become an important complementary …

Currently, reviews on the Internet contain abundant information about users and products,
and this information is of great value to recommendation systems. As a result, review-based …