Suicide risk assessment using machine learning and social networks: a scoping review
Abstract According to the World Health Organization (WHO) report in 2016, around 800,000
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
Sentiment analysis of public social media as a tool for health-related topics
For decades, researchers have experimented with the possibility that machines can equal
human linguistic capabilities. Recently, advances in the field of natural language processing …
human linguistic capabilities. Recently, advances in the field of natural language processing …
Real‐Time Twitter Trend Analysis Using Big Data Analytics and Machine Learning Techniques
AP Rodrigues, R Fernandes… - Wireless …, 2021 - Wiley Online Library
Twitter is a popular microblogging social media, using which its users can share useful
information. Keeping a track of user postings and common hashtags allows us to understand …
information. Keeping a track of user postings and common hashtags allows us to understand …
Hierarchical multiscale recurrent neural networks for detecting suicide notes
Recent statistics in suicide prevention show that people are increasingly posting their last
words online and with the unprecedented availability of textual data from social media …
words online and with the unprecedented availability of textual data from social media …
Towards intelligent clinically-informed language analyses of people with bipolar disorder and schizophrenia
NLP offers a myriad of opportunities to support mental health research. However, prior work
has almost exclusively focused on social media data, for which diagnoses are difficult or …
has almost exclusively focused on social media data, for which diagnoses are difficult or …
Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec
Suicide is a complex, multidimensional event, and a significant challenge for prevention
globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness …
globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness …
Dilated lstm with attention for classification of suicide notes
In this paper we present a dilated LSTM with attention mechanism for document-level
classification of suicide notes, last statements and depressed notes. We achieve an …
classification of suicide notes, last statements and depressed notes. We achieve an …
[PDF][PDF] Quantifying suicidal ideation on social media using machine learning: a critical review
Suicidal ideation is one of the severe mental health issues and a serious social problem
faced by our society. This problem has been usually dealt with through the psychological …
faced by our society. This problem has been usually dealt with through the psychological …
Smart self-immolation prediction techniques: An analytical study for predicting suicidal tendencies using machine learning algorithms
Suicide, one of the most important concerns in the world, is causing one death in every 40
seconds, according to WHO. Since the last 45 years, having the suicide rate increasing by …
seconds, according to WHO. Since the last 45 years, having the suicide rate increasing by …
Analysis of Post centric suicidal expressions and classification on the Social Media Post: Twitter
C Lalrinmawii, S Debnath - 2020 11th International …, 2020 - ieeexplore.ieee.org
Suicide has always been a global issue and the detection of suicidal ideation in the masses
that are not under clinical care proves to be a challenge. Fortunately, with the explosion of …
that are not under clinical care proves to be a challenge. Fortunately, with the explosion of …