An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Between 2008 and 2010, polarization in society increased dramatically alongside a significant shift in social behavior: the ...
Place of Nursing Theory during Cardiac Arrest Management: Case of HPRC and CPLR in Bujumbura. Open Journal of Nursing, 15, 941-948. doi: 10.4236/ojn.2025.1510067 . Cardiac arrest is a major public ...
Background Tobacco use among United States (US) youth and young adults has declined from historic levels, but cannabis use ...
Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...
Background Blood culture (BC) in children has relatively low diagnostic yield and high contamination rates, limiting ...
Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may trigger challenges to capacity and to consider the implications of ...
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