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  2. Tripartite Model of Anxiety and Depression - Wikipedia

    en.wikipedia.org/wiki/Tripartite_Model_of...

    Watson and Clark (1991) proposed the Tripartite Model of Anxiety and Depression to help explain the comorbidity between anxious and depressive symptoms and disorders. [1] This model divides the symptoms of anxiety and depression into three groups: negative affect, positive affect and physiological hyperarousal.

  3. Group concept mapping - Wikipedia

    en.wikipedia.org/wiki/Group_concept_mapping

    The resulting maps display the individual statements in two-dimensional space with more similar statements located closer to each other, and grouped into clusters that partition the space on the map. The Concept System software also creates other maps that show the statements in each cluster rated on one or more scales, and absolute or relative ...

  4. Hierarchical Taxonomy of Psychopathology - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_taxonomy_of...

    Similarly, research on patterns of emotional (also called affective) experience [7] helped to identify dimensions of depression and anxiety symptoms. [8] Factor analytic studies of child symptomatology found clusters of emotional and behavioral problems that remain in use in research and clinical assessment today. [9]

  5. Dimensional models of personality disorders - Wikipedia

    en.wikipedia.org/wiki/Dimensional_models_of...

    Dimensional models are intended to reflect what constitutes personality disorder symptomology according to a spectrum, rather than in a dichotomous way.As a result of this they have been used in three key ways; firstly to try to generate more accurate clinical diagnoses, secondly to develop more effective treatments and thirdly to determine the underlying etiology of disorders.

  6. Behavioral health outcomes management - Wikipedia

    en.wikipedia.org/wiki/Behavioral_health_outcomes...

    Symptom clusters (like depression, anxiety, psychosis, mania, etc.), and Functional domains (like work and social functioning) Typically, a well-designed BHOM system will need to integrate multiple questionnaires to measure all of these areas as there is only one, currently identified outcome battery in the literature that meets all of the CBC ...

  7. Depressive personality disorder - Wikipedia

    en.wikipedia.org/wiki/Depressive_personality...

    These subtypes are multidimensional in that patients usually experience multiple subtypes, instead of being limited to fitting into one subtype category. Currently, this set of subtypes is associated with melancholic personality disorders. All depression spectrum personality disorders are melancholic and can be looked at in terms of these subtypes.

  8. Differential diagnoses of depression - Wikipedia

    en.wikipedia.org/wiki/Differential_diagnoses_of...

    There are many psychiatric and medical conditions that may mimic some or all of the symptoms of depression or may occur comorbid to it. [11] [12] [13] A disorder either psychiatric or medical that shares symptoms and characteristics of another disorder, and may be the true cause of the presenting symptoms is known as a differential diagnosis. [14]

  9. Clustering high-dimensional data - Wikipedia

    en.wikipedia.org/wiki/Clustering_high...

    Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...

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