Empirically Derived Decision Trees for the Treatment of Late-Life Depression

Objective: Several predictors of treatment response in late-life depression have been reported in the literature. The aim of this analysis was to develop a clinically useful algorithm that would allow clinicians to predict which patients will likely respond to treatment and thereby guide clinical de...

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Veröffentlicht in:	The American journal of psychiatry 2008-07, Vol.165 (7), p.855-862
Hauptverfasser:	Andreescu, Carmen, Mulsant, Benoit H., Houck, Patricia R., Whyte, Ellen M., Mazumdar, Sati, Dombrovski, Alexandre Y., Pollock, Bruce G., Reynolds, Charles F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Factors Age of Onset Aged Algorithms Associated treatments Biological and medical sciences Decision Trees Depressive Disorder, Major - diagnosis Depressive Disorder, Major - drug therapy Depressive Disorder, Major - therapy Drug therapy Empirical Research Humans Medical sciences Mental depression Methodology. Experimentation Older people Prospective Studies Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Recurrence Sample size Studies Surveys and Questionnaires Techniques and methods Treatments Variables
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