CAREER: Engineering Data-intensive Prediction and Classification for Medical Testbeds with Nonlinear, Distributed, and Interdisciplinary Approaches

研究目标和方法本研究的目的是利用S在工程上的专业知识和与医学专家的合作，为STEM和基础医学的跨学科主题，特别是以患者为中心的健康信息学应用做出贡献。该方法是利用所有数据集的整体动力学(如与核心因素的非线性)和整个多数据库分布的网络特征来综合研究来自多个机构的医疗数据，而不是将传统的预测和分类技术应用于非常有限的医学试验台。将所提出的自适应跟踪方法应用于软组织肿瘤，放射外科系统通过使用运动跟踪系统预测肿瘤运动来维持对肿瘤的精确靶向。动态分类方法的成功开发将大大推进癌症筛查的临床实施，促进结肠癌的早期诊断，提高筛查率，最终有助于降低结肠癌的死亡率。预期成果将应用于医学问题，通过癌症早期诊断和治疗方面的前所未有的进步，提高我们所有人的生活质量，造福整个社会。已开发框架的进步将利用和扩大国家的网络基础设施和高性能计算能力。

ABSTRACTResearch Objectives and ApproachesThe objective of this research is to contribute to the interdisciplinary topic on STEM and basic medical science, specifically Patient-Centered Health Informatics Applications, with the newly proposed techniques that stand to benefit from the investigator?s expertise in engineering and from the collaboration with medical experts.The approach is to study the medical data from several institutions comprehensively with the dynamics of all the datasets in their entirety such as non-linearity with kernel factors, and the network characteristics of whole multiple database distribution, rather than applying traditional techniques of prediction and classification to the very limited number of small medical testbeds.Intellectual Merit When the proposed adaptive tracking method is used on soft tissue tumors, radiosurgery systems maintain precise targeting of the tumor by predicting tumor motion using a motion tracking system. The successful development of the proposed dynamic classification method will substantially advance the clinical implementation of cancer screening, promote the early diagnosis of colon cancer, lead to an improved screening rate, and ultimately contribute toward reducing the mortality due to colon cancer.Broader impacts The proposed data-intensive solutions can save millions of cancer patients every year. The expected outcomes will be applied to medical problems and benefit society as a whole by enhancing the quality of all our lives, through unprecedented advances in the early diagnosis and treatment of cancer. The advancements in the developed framework will make use of and expand the Nation's cyber infrastructure and high performance computing capability.