Most patients with diabetes mellitus are asymptomatic, which leads to delayed and more
complex treatment. At the same time, most individuals are routinely subjected to standard …

Vitamin D Deficiency (VDD) is one of the most significant global health problem and there is
a strong demand for the prediction of its severity using non-invasive methods. The primary …

Background In recent decades, the use of artificial intelligence has been widely explored in
health care. Similarly, the amount of data generated in the most varied medical processes …

Objective There is no widely used prognostic model for delirium in patients with advanced
cancer. The present study aimed to develop a decision tree prediction model for a short-term …

Conventional alcohol screening methods in the ER are susceptible to errors, potentially
compromising patient safety and treatment efficacy. Thus, the study aimed to develop an …

Background Although several risk factors for nosocomial diarrhea have been identified, the
detail of association between these factors and onset of nosocomial diarrhea, such as …

Storing the patient's clinical test reports for analysis differs from clinic to clinic as most clinics
store the details in customized software or freely available spreadsheets. In the nutrition test …

Background: In recent decades, the use of artificial intelligence has been widely explored in
health care. Similarly, the amount of data generated in the most varied medical processes …