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Machine differential diagnosis is the use of computer software to partly or fully make a differential diagnosis. It may be regarded as an application of artificial intelligence. Alternatively, it may be seen as "augmented intelligence" if it meets the FDA criteria, namely that (1) it reveals the underlying data, (2) reveals the underlying logic ...
Importantly, individuals can also differ not only in their current state, but in the magnitude or even direction of response to a given stimulus. [5] Such phenomena, often explained in terms of inverted-U response curves, place differential psychology at an important location in such endeavours as personalized medicine, in which diagnoses are customised for an individual's response profile.
For example, a diagnosis of major depressive disorder, a common mental illness, had a poor reliability kappa statistic of 0.28, indicating that clinicians frequently disagreed on diagnosing this disorder in the same patients. The most reliable diagnosis was major neurocognitive disorder, with a kappa of 0.78. [103]
The areas of dispute include the objectivity of testers, inter-rater reliability, the verifiability and general validity of the test, bias of the test's pathology scales towards greater numbers of responses, the limited number of psychological conditions which it accurately diagnoses, the inability to replicate the test's norms, its use in ...
The cognitive model of abnormality is one of the dominant forces in academic psychology beginning in the 1970s and its appeal is partly attributed to the way it emphasizes the evaluation of internal mental processes such as perception, attention, memory, and problem-solving. The process allows psychologists to explain the development of mental ...
In the scientific and academic literature on the definition or categorization of mental disorders, one extreme argues that it is entirely a matter of value judgments (including of what is normal) while another proposes that it is or could be entirely objective and scientific (including by reference to statistical norms); [2] other views argue that the concept refers to a "fuzzy prototype" that ...
The diagnosis of personality disorders in the fourth edition Diagnostic and Statistical Manual of Mental Disorders, including dependent personality disorder, was found to be problematic due to reasons such as excessive diagnostic comorbidity, inadequate coverage, arbitrary boundaries with normal psychological functioning, and heterogeneity ...
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.