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Expert System Diagnosis of Depression and Dementia

机译：抑郁症和痴呆症的专家系统诊断

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This project developed a computer-based expert system to assist mental health practitioners in differentiating depression and dementia. These two disorders occur with high frequency in primary care settings, yet they often are difficult to reliably differentiate. The decision rules used by the system were derived from published lists of clinical features that distinguish depression from dementia, as well as specific suggestions from experience medical and mental health practitioners. A clinician interacts with the system through a straightforward question and answer format or alternatively by submitting prepared tables of clinical data. Decisions are based on values from clinical findings, patient history, lab results and psychometric test data. One of the following four outcome classifications is presented for consideration by the clinician, along with reasoning behind the decision: Depression, Dementia, Dementia with Depression, or Other Disorder. Clinical and test data from 1,858 cases seen by a neuropsychology service at a major medical center were entered into the system. The system correctly classified 92% of these cases. With increased acceptance such expert systems have the potential to provide diagnostic and treatment recommendations in medical settings without ready access to clinical specialists, such as in rural health care off under-served urban areas.

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