Depression

Large-scale Text Mining of Suicide Attempt improves Identification of Distinct Suicidal Events in Electronic Health Records.

In this study, we explore a natural language processing (NLP) algorithm's capacity to identify proxi...

Emulation of a Target Trial to Estimate the Effect of Selective Serotonin Reuptake Inhibitors on the Development of Antimicrobial-Resistant Infections using Electronic Health Record Data and Causal Machine Learning.

Antimicrobial resistance is a significant public health concern. The use of selective serotonin reup...

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

While there is a growing recognition of the association between depression and asthma, few studies h...

Navigating the Intersection of Technology and Depression Precision Medicine.

This chapter primarily focuses on the progress in depression precision medicine with specific emphas...

The New Emerging Treatment Choice for Major Depressive Disorders: Digital Therapeutics.

The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach ...

Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

There is clear scientific evidence that physical activity helps to prevent depression and anxiety. U...

[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

This study used machine learning techniques combined with routine blood cell analysis parameters to ...

Neuronetwork Approach in the Early Diagnosis of Depression.

BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from dep...

Is depression lifting? AI that interprets brain waves has answers.

ChatGPT, Artificial Intelligence, and Suicide Prevention.

Deep Depression Detection with Resting-State and Cognitive-Task EEG.

Depression is a common mental disorder that negatively affects physical health and personal, social ...

Performance of Artificial Intelligence in Predicting Future Depression Levels.

Depression is a prevalent mental condition that is challenging to diagnose using conventional techni...

[Artificial intelligence and psychiatry: questions from psychiatrists to ChatGPT].

Psychiatrists and psychotherapists specialising in the fields of addiction, personality disorders, A...

Statistical and artificial intelligence techniques to identify risk factors for suicide in children and adolescents.

BACKGROUND: Suicidal Behaviors and Thoughts are a relevant public health issue that includes suicida...

Interpretable Estimation of Suicide Risk and Severity from Complete Blood Count Parameters with Explainable Artificial Intelligence Methods.

BACKGROUND: The peripheral inflammatory markers are important in the pathophysiology of suicidal beh...

Pilot Mental Health, Methodologies, and Findings: A Systematic Review.

Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, w...

[ST segment morphological classification based on support vector machine multi feature fusion].

ST segment morphology is closely related to cardiovascular disease. It is used not only for characte...

Constructive Fuzzy Cognitive Map for Depression Severity Estimation.

Depression is a common and serious medical disorder that negatively affects the mood and the emotion...

Burnout and Depression Detection Using Affective Word List Ratings.

Burnout syndrome and depression are prevalent mental health problems in many societies today. Most e...

Natural language processing of medical records: new understanding of suicide ideation by dementia subtypes.

Resampling to address inequities in predictive modeling of suicide deaths.

OBJECTIVE: Improve methodology for equitable suicide death prediction when using sensitive predictor...