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首页> 外文期刊>Nordic journal of psychiatry. >Bayesian prediction of treatment outcome in anorexia nervosa: A preliminary study
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Bayesian prediction of treatment outcome in anorexia nervosa: A preliminary study

机译：贝叶斯预测神经性厌食症治疗效果的初步研究

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Background: Knowledge of the prognostic factors predicting treatment outcome in anorexia nervosa (AN) measured with health-related quality of life (HRQoL) is limited. Aims: We performed a novel statistical analysis to identify factors predicting treatment outcome in AN. Methods: 39 patients entering treatment of an ICD-10-defined AN completed the 15D HRQoL survey, the Eating Disorder Inventory (EDI) and a questionnaire evaluating self reported health status and eating habits before and 2 years after the start of treatment. The analysis was based on a Bayesian approach, which allows analyses of small data sets, and was performed using a naive Bayes classifier. Results: An impaired follow-up HRQoL score was associated with three baseline risk factors: low self-reported vitality, high scores in eating control and a poor reported health status. Low baseline body mass index (BMI) and a high score in the eating dimension of the 15D predicted low follow-up BMI. Conclusions: In our preliminary study, we identified a set of variables predicting poor HRQoL in AN. An effort to treat these symptoms effectively in the beginning of AN treatment may influence the outcome.
机译：背景：用健康相关生活质量（HRQoL）衡量的预测神经性厌食症（AN）治疗结局的预后因素的知识有限。目的：我们进行了一项新颖的统计分析，以识别预测AN治疗结果的因素。方法：39名接受ICD-10定义的AN治疗的患者完成了15D HRQoL调查，饮食失调量表（EDI）和一份问卷，评估了开始治疗前后2年的自我报告的健康状况和饮食习惯。该分析基于贝叶斯方法，该方法可以分析小数据集，并使用朴素的贝叶斯分类器进行。结果：随访HRQoL评分受损与三个基线危险因素有关：自我报告的生命力低，饮食控制得分高和报告的健康状况差。低基线体重指数（BMI）和15D饮食维度上的高分预示了低随访BMI。结论：在我们的初步研究中，我们确定了一组预测AN中HRQoL较差的变量。在AN治疗开始时努力有效治疗这些症状可能会影响结果。

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