Prediction models for suicide attempts and deaths: a systematic review and simulation
BE Belsher, DJ Smolenski, LD Pruitt, NE Bush… - JAMA …, 2019 - jamanetwork.com
Importance Suicide prediction models have the potential to improve the identification of
patients at heightened suicide risk by using predictive algorithms on large-scale data …
patients at heightened suicide risk by using predictive algorithms on large-scale data …
Suicidal behaviour prediction models using machine learning techniques: A systematic review
Background Early detection and prediction of suicidal behaviour are key factors in suicide
control. In conjunction with recent advances in the field of artificial intelligence, there is …
control. In conjunction with recent advances in the field of artificial intelligence, there is …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
Knowledge-aware assessment of severity of suicide risk for early intervention
Mental health illness such as depression is a significant risk factor for suicide ideation,
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
[HTML][HTML] Prediction of survival and metastasis in breast cancer patients using machine learning classifiers
Background Breast cancer (BC) is one of the most common malignancies in women. Early
diagnosis of BC and metastasis among the patients based on an accurate system can …
diagnosis of BC and metastasis among the patients based on an accurate system can …
Assessment of a machine learning model applied to harmonized electronic health record data for the prediction of incident atrial fibrillation
Importance Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its
early detection could lead to significant improvements in outcomes through the appropriate …
early detection could lead to significant improvements in outcomes through the appropriate …
Towards ordinal suicide ideation detection on social media
The rising ubiquity of social media presents a platform for individuals to express suicide
ideation, instead of traditional, formal clinical settings. While neural methods for assessing …
ideation, instead of traditional, formal clinical settings. While neural methods for assessing …
Can machine-learning methods really help predict suicide?
Machine learning or artificial intelligence may afford opportunities in mental health research
and in the clinical care of suicidal patients. However, application of such techniques should …
and in the clinical care of suicidal patients. However, application of such techniques should …
[HTML][HTML] Machine learning for suicidology: A practical review of exploratory and hypothesis-driven approaches
Abstract Machine learning is being used to discover models to predict the progression from
suicidal ideation to action in clinical populations. While quantifiable improvements in …
suicidal ideation to action in clinical populations. While quantifiable improvements in …
[HTML][HTML] Factors associated with in vitro fertilization live birth outcome: A comparison of different classification methods
P Amini, F Ramezanali… - … Journal of Fertility & …, 2021 - ncbi.nlm.nih.gov
Background In vitro fertilization (IVF) is a useful assisted reproductive technology to achieve
pregnancy in infertile couples. However, it is very important to optimize the success rate after …
pregnancy in infertile couples. However, it is very important to optimize the success rate after …