Psychiatry

Depression

Latest AI and machine learning research in depression for healthcare professionals.

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Showing 1261-1281 of 1,937 articles
Shall I compare thee…to a robot? An exploratory pilot study using participatory arts and social robotics to improve psychological well-being in later life.

Research suggests that the use of creative, artistic activities in later life may positively impact ...

(1)
Dec 2019 31851830
On-site testing of multiple drugs of abuse in urine by a miniature dual-LIT mass spectrometer.

There is an increasing need for rapid and on-site detection of emerging drugs of abuse. In this work...

Dec 2019 32029121
Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a per...

Dec 2019 31834531
Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

A growing literature is utilizing machine learning methods to develop psychopathology risk algorithm...

(1)
Dec 2019 31864158
Implementing machine learning in bipolar diagnosis in China.

Bipolar disorder (BPD) is often confused with major depression, and current diagnostic questionnaire...

Nov 2019 31740657
Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Machine learning methods show promise to translate univariate biomarker findings into clinically use...

Nov 2019 31712550
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method.

Succinylation is a type of protein post-translational modification (PTM), which can play important r...

Nov 2019 31700141
ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder.

Treating patients with major depressive disorder is challenging because it takes several months for ...

(2)
Nov 2019 31703457
A network perspective on body dysmorphic disorder and major depressive disorder.

BACKGROUND: Body dysmorphic disorder (BDD) is a highly debilitating mental disorder associated with ...

Nov 2019 31733461
Impact of age at onset on the phenomenology of depression in treatment-seeking adults in the STAR*D trial.

BACKGROUND: - Adolescence is characterized by biological, emotional, and behavioral changes. The ons...

Oct 2019 31740109
Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression.

BACKGROUND: Theoretical models have emphasized systems-level abnormalities in major depressive disor...

Oct 2019 31784354
Physicochemical stability of an admixture of lidocaine and ketamine in polypropylene syringe used in opioid-free anaesthesia.

OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of d...

Oct 2019 32296511
cytogenotoxic evaluation of sertraline.

Sertraline (SRT) is an antidepressant agent used as a neuronal selective serotonin-reuptake inhibito...

Oct 2019 31736631
Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.

BACKGROUND: Although geriatric depression is prevalent, diagnosis using self-reporting instruments h...

Oct 2019 31621642
Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis.

Previous structural and functional neuroimaging studies have implicated distributed brain regions an...

(1)
Oct 2019 31571370
A deep learning framework for automatic diagnosis of unipolar depression.

BACKGROUND AND PURPOSE: In recent years, the development of machine learning (ML) frameworks for aut...

Sep 2019 31586827
Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach.

INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An e...

Sep 2019 31569007
Machine learning discovery of longitudinal patterns of depression and suicidal ideation.

BACKGROUND AND AIM: Depression is often accompanied by thoughts of self-harm, which are a strong pre...

Sep 2019 31539408
Clustering suicides: A data-driven, exploratory machine learning approach.

Methods of suicide have received considerable attention in suicide research. The common approach to ...

Sep 2019 31505319
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