Predicting the evolution of individuals is a rather new mining task with applications in medicine. Medical researchers are interested in the progression of a disease and/or how do patients evolve or recover when they are subjected to some treatment. In this study, we investigate the problem of patients' evolution on the basis of medical tests before and after treatment after brain trauma: we want to understand to what extend a patient can become similar to a healthy participant. We face two challenges. First, we have less information on healthy participants than on the patients. Second, the values of the medical tests for patients, even after treatment started, remain well-separated from those of healthy people; this is typical for neurodegenerative diseases, but also for further brain impairments. Our approach encompasses methods for modelling patient evolution and for predicting the health improvement of different patients' subpopulations, i.e. prediction of label if they recovered or not. We test our approach on a cohort of patients treated after brain trauma and a corresponding cohort of controls.

中文翻译：

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预测遭受外伤性脑损伤（TBI）的患者的治疗后恢复情况。

预测个体的进化是一项相当新的采矿任务，并将其应用于医学中。医学研究人员对疾病的进展和/或患者在接受某种治疗后如何发展或康复感兴趣。在这项研究中，我们根据脑外伤治疗前后的医学检查来调查患者的进化问题：我们想了解患者在多大程度上可以变得与健康参与者相似。我们面临两个挑战。首先，关于健康参与者的信息少于关于患者的信息。其次，即使在开始治疗后，对患者的医疗检查值仍与健康人的值相去甚远；这是神经退行性疾病的典型症状，也是脑部进一步损伤的典型症状。我们的方法包括建模患者进化和预测不同患者亚群健康改善的方法，即预测患者是否康复的标记。我们对一组在脑外伤后接受治疗的患者以及相应的对照组进行了测试。