Toward an online cognitive and emotional battery to predict treatment remission in depression - Wikidata - awgldk - TriplyDB

Toward an online cognitive and emotional battery to predict treatment remission in depression

Toward an online cognitive and emotional battery to predict treatment remission in depression

http://www.wikidata.org/entity/Q35142665

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Characterizing neurocognitive impairment in young people with major depression: state, trait, or scar?Computational psychiatry as a bridge from neuroscience to clinical applications.Accurately identifying patients who are excellent candidates or unsuitable for a medication: a novel approach.

P2860

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P2860

Toward an online cognitive and emotional battery to predict treatment remission in depression

http://www.wikidata.org/entity/Q35142665

description

2015 nî lūn-bûn

@nan

2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Toward an online cognitive and ...... atment remission in depression

@ast

Toward an online cognitive and ...... atment remission in depression

@en

type

label

Toward an online cognitive and ...... atment remission in depression

@ast

Toward an online cognitive and ...... atment remission in depression

@en

prefLabel

Toward an online cognitive and ...... atment remission in depression

@ast

Toward an online cognitive and ...... atment remission in depression

@en

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Neuropsychiatric Disease and Treatment

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Toward an online cognitive and ...... atment remission in depression

@en

P2093

Donna M Palmer

http://www.w3.org/2001/XMLSchema#string

Evian Gordon

http://www.w3.org/2001/XMLSchema#string

William Rekshan

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P2860

The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R)

Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice

Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report

International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol.

Integrative neuroscience: the role of a standardized database.

Remission onset and relapse in depression. An 18-month prospective study of course for 100 first admission patients.

Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random fo

Explicit identification and implicit recognition of facial emotions: I. Age effects in males and females across 10 decades.

Psychosocial and clinical predictors of response to pharmacotherapy for depression

A cognitive-emotional biomarker for predicting remission with antidepressant medications: a report from the iSPOT-D trial.

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517-531

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scholarly article

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10.2147/NDT.S75975

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11

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Augustus John Rush

Taylor A Braund

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2015-02-26T00:00:00Z

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25750532

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4348126

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