… expressed online with psychometrically assessed suicidal risk 6,7 . Here we develop a
machine learning approach based on Twitter data that predicts individual level future suicidal risk …

… model with Word2Vec to predict suicidal thoughts, with an … proposed deep learning model
with existing methods based … articles which used the same data source for the comparison task…

… the monitoring of suicide and suicidal ideation, or the process of thinking or ruminating …
machine learning methods, new analyses of social media data to predict individual suicide risk …

… to predict the suicidal ideation, It is believed that social media … of people by identifying the
risk factors and warning signs well … a machine learning tool for binary classification of our data …

… Predicting users’ suicidal ideation based on social media data can avoid non-real-time and
… , this study utilizes machine learning techniques to identify posts of suicidal individuals and, …

… deep ensemble machine learning approach to predict acute SI using textual and user metadata
collected from the social … Social networking (SN) data represents a promising information …

… of LSTM than other Machine Learning techniques with sequential data. Focal loss was also
… In this case, accuracy is the fraction of predictions of our model that was correctly classified. …

… In this work, we proposed a deep learning model and used a few other machine learning …
A machine learning approach predicts future risk to suicidal ideation from social media data. …

… on mining and analysis of social media data related with suicidal ideation was constructed.
… A machine learning approach predicts future risk to suicidal ideation from social media data,…

… the environmental risk factors that influence suicidal thoughts and … the use of machine
learning on social media data is an … predictions produced with large datasets, machine learning …