Artificial intelligence and suicide prevention: a systematic review of machine learning investigations
Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
Natural language processing in mental health applications using non-clinical texts
Natural language processing (NLP) techniques can be used to make inferences about
peoples' mental states from what they write on Facebook, Twitter and other social media …
peoples' mental states from what they write on Facebook, Twitter and other social media …
[HTML][HTML] Sentiment analysis in health and well-being: systematic review
Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
Machine classification and analysis of suicide-related communication on twitter
The World Wide Web, and online social networks in particular, have increased connectivity
between people such that information can spread to millions of people in a matter of …
between people such that information can spread to millions of people in a matter of …
[HTML][HTML] Analysing the connectivity and communication of suicidal users on twitter
In this paper we aim to understand the connectivity and communication characteristics of
Twitter users who post content subsequently classified by human annotators as containing …
Twitter users who post content subsequently classified by human annotators as containing …
The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors
TM Fonseka, V Bhat… - Australian & New Zealand …, 2019 - journals.sagepub.com
Objective: Suicide is a growing public health concern with a global prevalence of
approximately 800,000 deaths per year. The current process of evaluating suicide risk is …
approximately 800,000 deaths per year. The current process of evaluating suicide risk is …
[PDF][PDF] Artificial Intelligence and Machine Learning for Healthcare
L Jain - 2023 - researchgate.net
Since its origins, medicine has been more linked to the cure of diseases than to their
prevention. This is due to multiple factors, training of health professionals aimed at curing …
prevention. This is due to multiple factors, training of health professionals aimed at curing …
3D template matching for pose invariant face recognition using 3D facial model built with isoluminance line based stereo vision
We propose a framework for face recognition performed in 3D space. A 3D facial model
consisting of a sparse depth map is constructed from stereo images using isoluminance …
consisting of a sparse depth map is constructed from stereo images using isoluminance …
Artificial intelligence for the future of medicine
RB Ruiz, JD Velásquez - Artificial Intelligence and Machine Learning for …, 2022 - Springer
Since its origins, medicine has been more linked to the cure of diseases than to their
prevention. This is due to multiple factors, training of health professionals aimed at curing …
prevention. This is due to multiple factors, training of health professionals aimed at curing …
[HTML][HTML] Cohort selection for clinical trials from longitudinal patient records: text mining approach
I Spasic, D Krzeminski, P Corcoran… - JMIR medical …, 2019 - medinform.jmir.org
Background: Clinical trials are an important step in introducing new interventions into clinical
practice by generating data on their safety and efficacy. Clinical trials need to ensure that …
practice by generating data on their safety and efficacy. Clinical trials need to ensure that …