Latest AI and machine learning research in sexual assault for healthcare professionals.
BACKGROUND: Though lifetime exposure to traumatic events is significant, only a minority of individu...
BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significan...
In this paper, response surface methodology (RSM) designs and an artificial neural network (ANN) are...
OBJECTIVE: Rape-survivor identity is a sign of recovery and positive therapeutic progress among rape...
Research indicates that psychopathology in disaster survivors is a function of both experienced trau...
Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, depart...
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study ...
The immune response to major trauma has been analysed mainly within post-hospital admission settings...
INTRODUCTION: Bladder rupture following blunt pelvic trauma is rare though can have significant sequ...
Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Postt...
OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to convent...
Posttraumatic stress responses are characterized by a heterogeneity in clinical appearance and etiol...
Statistical theory indicates that a flexible model can attain a lower generalization error than an i...
PURPOSE: Robotics has evolved rapidly in terms of mechanical design and control in the past few year...
BACKGROUND: Currently, two models of artificial neural network (ANN) and logistic regression (LR) ar...
The purpose of this study was to identify an optimal definition of massive transfusion in civilian p...
BACKGROUND: American Indian (AI) families experience a disproportionate risk of obesity due to a num...
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...
AIM: Because severe trauma patients frequently manifest coagulopathy, it is extremely important to d...
Many real-world optimization problems can be solved by using the data-driven approach only, simply b...
Experimental paradigms used in affective and clinical science often use stimuli such as images, scen...