HISPANIC COMMUNITY HEALTH STUDY (STUDY OF LATINOS (HCHS-SOL) FIELD CENTER - DIVERSITY SUPPLEMENT FOR CELESTIN MISSIKPODE.

西班牙裔社区健康研究（拉丁裔研究 (HCHS-SOL) 现场中心 - Celestin Missikpode 的多样性补充。

• 批准号: 10495682
• 负责人: CELESTIN MISSIKPODE
• 金额: $ 14.01万
• 依托单位: UNIVERSITY OF ILLINOIS AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2022-09-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10495682
• 关键词: Algorithms; Area; Assessment tool; Chronic Kidney Failure; Communities; Data; Diabetes Mellitus; Disease; Evaluation; Foundations; Hispanic Community Health Study/Study of Latinos; Hypertension; Logistic Regressions; Machine Learning; Methodology; Methods; Performance; Persons; Predictive Value; Prevention Research; ROC Curve; Research Project Grants; Research Training; Risk Assessment; Risk Estimate; Screening procedure; Sensitivity and Specificity; Statistical Methods; Techniques; base; cardiovascular disorder prevention; career; diagnostic accuracy; population based; screening; tool

This Diversity Supplement for research and training builds upon Dr. Missikpode’s methodological background and extends into machine learning, thus laying the foundation for a successful academic career in cardiovascular disease prevention research. The research project, “Population-Based Screening Tools: Comparing Traditional versus Machine Learning Techniques” leverages existing data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) to explore the potential of machine learning techniques for developing screening tools that can be used by lay people to assess disease likelihood and the need for further evaluation. A screening tool developed using this method can be represented graphically as an algorithm that can be easily navigated by anyone.

这项研究和培训的多样性补充以misskpode博士的方法论背景为基础，并扩展到机器学习，从而为心血管疾病预防研究的成功学术生涯奠定了基础。该研究项目“基于人群的筛查工具：比较传统与机器学习技术”利用西班牙裔社区健康研究/拉丁裔研究（HCHS/SOL）的现有数据，探索机器学习技术在开发筛查工具方面的潜力，这些工具可被非专业人员用于评估疾病的可能性和进一步评估的必要性。使用这种方法开发的筛选工具可以图形化地表示为任何人都可以轻松导航的算法。