首页> 外文会议> >Predictive medicine: initial symptoms may determine outcome in clinically treated depressions
【24h】

Predictive medicine: initial symptoms may determine outcome in clinically treated depressions

机译:预测性医学:初始症状可能决定临床治疗的抑郁症的结局

获取原文

摘要

Nonlinear mathematical modeling methods were compared in the study of therapeutic outcome prediction for clinically depressed patients. The performance of backpropagation, a nonlinear regression technique, was compared to multiple linear and quadratic regression. The results demonstrated nonlinear methods were useful in studying depression. To look for nonlinear predictive relationships among pre-treatment symptoms, treatment, and outcome, several studies were performed on data from 99 patients. This study investigated whether linear and nonlinear methodologies could reliably predict percent improvement of clinically depressed individuals exposed to fluoxetine, desipramine, or cognitive behavioral therapy. The linear model performed at chance levels with no factor statistically significant. However, both nonlinear models, backpropagation and quadratic regression, predicted outcome at statistically significant levels (p>0.05).
机译:在临床抑郁症患者的治疗结果预测研究中进行了非线性数学建模方法。 BackPropagation的性能,非线性回归技术与多元线性和二次回归进行了比较。结果表明非线性方法可用于研究抑郁症。为了寻找预处理症状,治疗和结果之间的非线性预测关系,对来自99例患者的数据进行了几项研究。本研究研究了线性和非线性方法是否可靠地预测暴露于氟西汀,脱脂或认知行为治疗的临床抑郁个体百分比。线性模型在机会水平下进行,没有因素统计学意义。然而,非线性模型,背部衰退和二次回归,预测结果在统计上显着水平(p> 0.05)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号