Background Adverse childhood experiences (ACEs) are linked to poor health and social outcomes, with growing interest in their ...
Abstract: Text classification, also commonly known as text categorization, is the process of assigning labels or tags to textual data. To solve this problem different models are used, based on machine ...
Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...
Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...
Abstract: Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. It combines image processing, analysis, and machine learning ...