Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver
impressive performance in many clinical tasks. Large training cohorts, however, are often …

Abstract Background and Aims In our current healthcare situation, burden on healthcare
services is increasing, with higher costs and increased utilization. Structured population …

(1) Background: The aim of this study is to provide a better understanding of the
requirements to improve routine health information systems (RHISs) for the management of …

Methods: This cross-sectional study was performed on a sample of patients with
gynecological cancers including uterine, ovarian, cervical, and vulvovaginal attending a …

Primary health centres are an effective means of achieving access to primary healthcare
(PHC) in low-and middle-income countries. We assessed service availability, service …

Abstract Purpose of Review This review summarises epidemiological research using
electronic health records (EHR) for antimicrobial stewardship. Recent Findings EHRs …

Современная медицина осваивает системы поддержки принятия решений (СППР).
Анализируя российские и зарубежные источники, работа выявляет основные барьеры …

With the advances in technology and data science, machine learning (ML) is being rapidly
adopted by the health care sector. However, there is a lack of literature addressing the …

Research data must be collected and maintained in compliance with a myriad of laws and
regulations that protect the privacy of participant's information, and should be captured in a …

Background Despite the importance of pathology testing in diagnosis and disease
monitoring, there is little in-depth research about pathology test ordering in general practice …