Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes

项目总结 这个项目的主要目标是了解分子、基因和基因之间的相互作用。 和临床相关因素不良妊娠结局(APOS)，制定准确的方法 在APO发生之前对其进行风险评估，并制定收集额外 高危人群常规治疗的临床资料。为了实现这些目标，我们组建了一个团队， 具有临床、翻译和计算专业知识的研究人员能够识别新的 APO的贡献者以及使用数据驱动和 从理论上讲，机器学习方法是合理的。我们的战略将依赖于先进的机器 学习以及整合临床、基因和分子数据，并有望带来 精准医学对妇女孕期和孕后的治疗和体会。我们会 主要依据的是在全国范围内进行的“未分娩妊娠结局研究”期间收集的数据： 监测准妈妈“；即nuMoM2B研究。使用10,038名未分娩妇女的队列，我们 将有效地实现三个目标：将遗传、临床和分子特征整合到一个更深的 了解APOS；开发用于高级风险预测的机器学习模型；以及 积极收集数据，进行风险评估和模型开发。使用结束语 计算科学家和临床科学家之间的合作，我们相信这项提议将导致 了解APOS的分子和临床方面以及评估的重要进展 这将降低无妊娠期妇女的风险，从而为产妇保健作出切实贡献。

PROJECT SUMMARY The primary objectives of this project include understanding the interplay between molecular, genetic and clinical factors related to adverse pregnancy outcomes (APOs), method development for accurate risk assessment of APOs well before they occur, and method development for collecting additional clinical data in routine treatment of at-risk-subjects. Towards these goals we have assembled a team of investigators with clinical, translational, and computational expertise capable of identifying novel contributors to APOs as well as facilitating clinician-patient interactions using data-driven and theoretically sound machine learning approaches. Our strategies will rely on advanced machine learning as well as integration of clinical, genetic, and molecular data and hold promise to bring precision medicine to the treatment and experience of women during and post pregnancy. We will predominantly rely on the data collected during the national “Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be”; i.e., the nuMoM2b study. Using the cohort of 10,038 nulliparous women, we will efficiently accomplish 3 Aims: to integrate genetic, clinical, and molecular features towards a deep understanding of APOs; to develop machine learning models for advanced risk prediction; and to engage in active data collection towards risk assessment and model development. Using a close collaboration between computational and clinical scientists, we believe this proposal will result in important advances in understanding the molecular and clinical aspects of APOs as well as assessing the risk for APOs and thus providing tangible contributions to maternal health.