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Psychiatry Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 610-630 of 1,360 articles

Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case-control study.

This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (M...

Mar 2021 PMID: 33645908

Convolutional Neural Network-Based Deep Learning Model for Predicting Differential Suicidality in Depressive Patients Using Brain Generalized q-Sampling Imaging.

OBJECTIVE: Suicide is a priority health problem. Suicide assessment depends on imperfect clinician a...

Feb 2021 PMID: 33988925

Patient journey through cases of depression from claims database using machine learning algorithms.

Health insurance and acute hospital-based claims have recently become available as real-world data a...

Feb 2021 PMID: 33592062

Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiol...

Feb 2021 PMID: 33571718

Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.

Mental health concerns, such as suicidal thoughts, are frequently documented by providers in clinica...

Feb 2021 PMID: 33581461

User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting.

Primary care represents a major opportunity for suicide prevention in the military. Significant adva...

Jan 2021 PMID: 33936481

Selection of Clinical Text Features for Classifying Suicide Attempts.

Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (...

Jan 2021 PMID: 33936399

Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities.

Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and g...

Jan 2021 PMID: 33498893

Identifying intentional injuries among children and adolescents based on Machine Learning.

BACKGROUND: Compared to other studies, the injury monitoring of Chinese children and adolescents has...

Jan 2021 PMID: 33471800

Prediction of pharmacological activities from chemical structures with graph convolutional neural networks.

Many therapeutic drugs are compounds that can be represented by simple chemical structures, which co...

Jan 2021 PMID: 33436854

Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.

Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to expl...

Jan 2021 PMID: 33411213

Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy.

The development of artificial intelligence (AI) in medicine raises fundamental ethical issues. As on...

Jan 2021 PMID: 33393864

Artificial neural networks for simultaneously predicting the risk of multiple co-occurring symptoms among patients with cancer.

Patients with cancer often exhibit multiple co-occurring symptoms which can impact the type of treat...

Dec 2020 PMID: 33350595

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women.

Chronic pelvic pain affects one in seven women worldwide, and there is an urgent need to reduce its ...

Dec 2020 PMID: 34713065

Development of a Self-Harm Monitoring System for Victoria.

The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and i...

Dec 2020 PMID: 33333970

Determination of amphetamines, ketamine and their metabolites in hair with high-speed grinding and solid-phase microextraction followed by LC-MS.

A novel hair sample pre-treatment method based on high-speed grinding and solid-phase microextractio...

Dec 2020 PMID: 34868720

Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

IMPORTANCE: Suicide is a leading cause of death in the US. However, official national statistics on ...

Dec 2020 PMID: 33355678

Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this...

Nov 2020 PMID: 33278743

Psychiatry

Browse Specialties

Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case-control study.

Convolutional Neural Network-Based Deep Learning Model for Predicting Differential Suicidality in Depressive Patients Using Brain Generalized q-Sampling Imaging.

Patient journey through cases of depression from claims database using machine learning algorithms.

Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.

User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting.

Selection of Clinical Text Features for Classifying Suicide Attempts.

Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities.

Identifying intentional injuries among children and adolescents based on Machine Learning.

Prediction of pharmacological activities from chemical structures with graph convolutional neural networks.

Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.

Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy.

Artificial neural networks for simultaneously predicting the risk of multiple co-occurring symptoms among patients with cancer.

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women.

Development of a Self-Harm Monitoring System for Victoria.

Determination of amphetamines, ketamine and their metabolites in hair with high-speed grinding and solid-phase microextraction followed by LC-MS.

Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach.

Deep learning for the prediction of treatment response in depression.

Deep-Asymmetry: Asymmetry Matrix Image for Deep Learning Method in Pre-Screening Depression.

Browse Specialties