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METHOD AND TOOLS FOR PREDICTING A PAIN RESPONSE IN A SUBJECT SUFFERING FROM CANCER-INDUCED BONE PAIN

机译:预测患有癌性骨痛的受试者中疼痛反应的方法和工具

摘要

A method is described for predicting a pain response in a subject suffering from cancer-induced bone pain (CIBP). Data is collected from the subject by querying the subject on personality and/or health traits, and/or performing one or more social learning and/or (bio)physical tests by or on the subject. The data is used in a set of mathematical models to attribute one or more Scoring Factors to the subject. The Scoring Factor is a measure of the propensity of the subject to raise a response to a pain stimulus or a treatment strategy; and/or a measure of the intensity of the response of the subject.
机译:描述了一种用于在患有癌症引起的骨痛(CIBP)的受试者中预测疼痛反应的方法。通过查询受试者的性格和/或健康特征,和/或对该受试者进行或针对该受试者进行一项或多项社会学习和/或(生物)物理测试,从受试者中收集数据。该数据用于一组数学模型中,以将一个或多个评分因子归因于受试者。评分因子是受试者对疼痛刺激或治疗策略的反应倾向的度量;和/或受试者反应强度的量度。

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