Psychiatry

Depression

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

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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhoo...

Jan 2019 30650109
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.

Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However...

Jan 2019 30692945
Machine learning in suicide science: Applications and ethics.

For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has...

(2)
Jan 2019 30609102
BP neural network prediction model for suicide attempt among Chinese rural residents.

OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) predi...

Dec 2018 30599370
Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.

BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistenc...

(2)
Dec 2018 30795491
Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...

(1)
Dec 2018 30815052
Toward Automatic Risk Assessment to Support Suicide Prevention.

Suicide has been considered an important public health issue for years and is one of the main cause...

(1)
Nov 2018 30474411
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...

Nov 2018 30467771
The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review.

BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the cur...

Nov 2018 30699872
A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression.

BACKGROUND: Some Internet interventions are regarded as effective treatments for adult depression, b...

Nov 2018 30392475
Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach.

Many variables have been linked to different course trajectories of depression. These findings, howe...

Nov 2018 30397196
Psychiatric stressor recognition from clinical notes to reveal association with suicide.

Suicide takes the lives of nearly a million people each year and it is a tremendous economic burden ...

Oct 2018 30328378
Primal world beliefs.

Beck's insight-that beliefs about one's self, future, and environment shape behavior-transformed dep...

(1)
Oct 2018 30299119
Fusing Location Data for Depression Prediction.

Recent studies have demonstrated that geographic location features collected using smartphones can b...

Oct 2018 35498556
Social Robots for Depression in Older Adults: A Systematic Review.

PURPOSE: In recent years, there has been an increase in the number of studies using social robots to...

Sep 2018 30198077
Machine learning in major depression: From classification to treatment outcome prediction.

AIMS: Major depression disorder (MDD) is the single greatest cause of disability and morbidity, and ...

Aug 2018 30136381
Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.

OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married pat...

Aug 2018 30170199
A rapid LC-MS/MS method for simultaneous determination of quetiapine and duloxetine in rat plasma and its application to pharmacokinetic interaction study.

Combinations of new antidepressants like duloxetine and second-generation antipsychotics like quetia...

Aug 2018 30648587
Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

BACKGROUND: Clinically approved antidepressants modulate the brain's emotional valence circuits, sug...

(2)
Aug 2018 30128279
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