论文标题
个性化心血管疾病风险通过纵向逆分类降低
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
论文作者
论文摘要
心血管疾病（CVD）是一种严重的疾病，影响了全球数百万，并且是美国死亡的主要原因。然而，近年来，个性化医学领域的巨大增长，这是一个将患者置于医疗决策和治疗过程的中心的医学领域。许多以CVD为重点的个性化医学创新都集中在遗传生物标志物上，这些创新在遗传水平上提供了特定于人的CVD见解，但不关注患者可以采取的实际步骤来减轻其CVD发展的风险。在这项工作中，我们提出了纵向反向分类，该建议框架提供了个性化的生活方式建议，以最大程度地减少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，从我们的框架中提出的建议的早期采用可显着降低CVD风险。
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.
