Surgery – Diagnostic testing
Patent
1998-03-20
2000-05-16
Winakur, Eric F.
Surgery
Diagnostic testing
128898, 434236, A61B 1700
Patent
active
060630280
ABSTRACT:
A method useful for facilitating choosing a treatment or treatment regime and for predicting the outcome of a treatment for a disorder which is diagnosed and monitored by a physician or other appropriately trained and licensed professional, such as for example, a psychologist, based upon the symptoms experienced by a patient. Unipolar depression is an example of such a disorder, however the model may find use with other disorders and conditions wherein the patient response to treatment is variable. In the preferred embodiment, the method for predicting patient response includes the steps of performing at least one measurement of a symptom on a patient and measuring that symptom so as to derive a baseline patient profile, such as for example, determining the symptom profile with time; defining a set of a plurality of predictor variables which define the data of the baseline patient profile, wherein the set of predictor variables includes predictive symptoms and a set of treatment options; deriving a model that represents the relationship between patient response and the set of predictor variables; and utilizing the model to predict the response of said patient to a treatment. A neural net architecture is utilized to define a non-linear, second order model which is utilized to analyze the patient data and generate the predictive database from entered patient data.
REFERENCES:
patent: 5435324 (1995-07-01), Brill
Parker et al., "Predicting Improvement in Patients with Non-Endogenous Depression," British Journal of Psychiatry, pp. 132-139, 1985.
Beekman et al., "Predicting the course of depression in the older population: results from a community-based study in The Netherlands," Journal of Affective Disorders,vol. 34, pp. 41-49, 1995.
Luciano, Dissertation: "Neural Network Modeling of Unipolar Depression: Patterns of Recovery and Prediction of Outcome", 1996.
Day Sharon L.
Winakur Eric F.
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