Cardiovascular disease (CVD) is a serious illness affecting millions world-wide and is the leading cause of death in the US. Recent years, however, have seen tremendous growth in the area of personalized medicine, a field of medicine that places the patient at the center of the medical decision-making and treatment process. Many CVD-focused personalized medicine innovations focus on genetic biomarkers, which provide person-specific CVD insights at the genetic level, but do not focus on the practical steps a patient could take to mitigate their risk of CVD development. In this work we propose longitudinal inverse classification, a recommendation framework that provides personalized lifestyle recommendations that minimize the predicted probability of CVD risk. Our framework takes into account historical CVD risk, as well as other patient characteristics, to provide recommendations. Our experiments show that earlier adoption of the recommendations elicited from our framework produce significant CVD risk reduction.

中文翻译：

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通过纵向逆分类的个性化心血管疾病风险缓解

心血管疾病 (CVD) 是一种严重的疾病，影响全球数百万人，是美国的主要死亡原因。然而，近年来，个性化医疗领域取得了巨大的发展，该领域将患者置于医疗决策和治疗过程的中心。许多以 CVD 为重点的个性化医疗创新都专注于遗传生物标志物，这些生物标志物在基因水平上提供了针对特定人的 CVD 见解，但并不关注患者可以采取哪些实际步骤来降低其 CVD 发展风险。在这项工作中，我们提出了纵向逆向分类，这是一个推荐框架，可提供个性化的生活方式建议，最大限度地降低 CVD 风险的预测概率。我们的框架考虑了历史 CVD 风险，以及其他患者特征，以提供建议。我们的实验表明，较早采用从我们的框架中引出的建议可以显着降低 CVD 风险。