Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained
after birth) are challenged to develop suitable care pathways for an individual client's needs …

Aim This study aims to determine the importance of gender, employment, education, place of
residence, and age in predicting mental disorders using artificial neural network modeling …

Objective To review the literature regarding the current state and clinical applicability of
machine learning (ML) models in prognosticating the outcomes of patients with mild …

Purpose This study builds on an artificial neural network model to determine the effect of
demographic, psychological, criminological, and physical activity factors on prisoners' …

Deep tendon reflexes are one of the main parameters of the neurological examination in
many diseases. Reflex responses increase in upper motor neuron diseases due to a lack of …

Traumatic brain injury (TBI) is defined as blunt and penetrating injury to the head and/or
brain caused by an external force that leads to temporary or permanent impairments to the …

Background: Breast cancer (BC) is the most common cancer in women, and it is important to
identify models that can accurately predict mortality in patients with this cancer. The aim of …

For decades, traditional correlation analysis and regression models have been used in
social science research. However, the development of machine learning algorithms makes it …

The spread of new waves of coronavirus outbreaks, high mortality rates, and time-
consuming and numerous challenges in achieving collective safety through vaccination and …