id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-295786-cpuz08vl	Castillo-Sánchez, Gema	Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review	2020-11-09		.txt	text/plain	7120	509	53	This scoping review aims to identify the machine learning techniques used to predict suicide risk based on information posted on social networks. This scoping review aims to identify the current ML techniques used to predict suicide risk based on information posted on social networks. The authors have performed a systematic review to identify relevant papers that use suicide risk assessment models in social networks. To select the relevant studies on this topic, the authors defined the following inclusion criteria: & The studies include algorithms or models to estimate suicide risk using the social network. The research papers were excluded if they were not written in the English language, do not include a specific suicide intervention or do not report information regarding technical aspects of the model/algorithm used to detect suicide risk on social networks. The results of the application of artificial intelligence algorithms or models for suicide risk identification using data collected from social networks have been analyzed in this study.	./cache/cord-295786-cpuz08vl.txt	./txt/cord-295786-cpuz08vl.txt