PREDICTION OF MENTAL HEALTH

Machine learning model to predict mental health crises from ... - Nature

We developed a machine learning model that uses electronic health records to continuously monitor patients for risk of a mental health crisis over a period of ...

Predicting major mental illness: ethical and practical considerations

Summary. An increasing body of genetic and imaging research shows that it is becoming possible to forecast the onset of major psychiatric ...

Prediction of Mental Health Problem Using Annual Student Health ...

Background: One of the reasons why students go to counseling is being called on based on self-reported health survey results.

Enduring Mental Health: Prevalence and Prediction - PMC

We review epidemiological evidence indicating that most people will develop a diagnosable mental disorder, suggesting that only a minority experience ...

Machine Learning Techniques to Predict Mental Health Diagnoses

Machine learning techniques, which fulfill the purposes of data analysis, prediction, and deriving meaning from data, have become invaluable for ...

Mental Health Prediction Using Machine Learning: Taxonomy ...

This paper presents a recent systematic review of machine learning approaches in predicting mental health problems.

Deep Learning for Cross-Diagnostic Prediction of Mental Disorder ...

Results suggest that the multidiagnostic model resembling a clinical setting prior to the examination can predict the mental disorder diagnosis with high ...

Predicting public mental health needs in a crisis using social media ...

Mental health issues have increased substantially since the onset of the COVID-19 pandemic. However, health policymakers do not have ...

Can we use AI to predict mental health crises? | LSE Research

These results show that machine learning can play a major role in predicting preventing and mitigating mental health crises.

Predicting non-improvement of symptoms in daily mental healthcare ...

The current study evaluates the performance of different machine learning (ML) models in predicting non-improvement in an observational sample of patients.

Predicting Mental Health Illness using Machine Learning Algorithms

Mental health is about one's psychological, emotional, and social well-being. It affects the way how one thinks, feels, and acts. Mental health is very ...

Machine Learning-Based Prediction of Mental Well-Being Using ...

The top five most salient features associated with predicting poor mental well-being include the number of sports activities per week, body mass index, grade ...

Predicting mental health using social media: A roadmap for future ...

Depressive disorders were ranked the most prevalent mental health problem worldwide in the 2013 GBD3 study, continued by bipolar, schizophrenia, and anxiety ...

Detection and Prediction of Future Mental Disorder From Social ...

This study deploys Nineteen different models to study the capability of them in detecting and predicting mental disorders from social media ...

An AI-based Decision Support System for Predicting Mental Health ...

This research utilizes advanced analytics and artificial intelligence to develop a decision support system (DSS) that can efficiently detect and diagnose ...

Prediction of Mental Health in Medical Workers During COVID-19 ...

The purpose of this paper is to predict mental health of medical workers based on machine learning by 32 factors.

A comprehensive review of predictive analytics models for mental ...

Finally, the value of this work lies in its potential to provide a fast and accurate method for predicting the mental health status of a person, which may ...

Predicting mental health problems in adolescence using machine ...

We aimed to I.) develop a model that can predict mental health problems in mid-adolescence II.) investigate if machine learning techniques (random forest, ...

Mental Health Prediction Using Machine Learning - Analytics Vidhya

In this article, we are going to predict the mental health of Employees using various machine learning models.

Predicting future mental illness from social media: A big-data approach

The results suggest that the most predictive indicators of future depression may be talk implying life problems. A content analysis of the words ...