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Trends of disparities in breast cancer progression and health care considering multilevel risk factors

考虑多层次危险因素的乳腺癌进展和医疗保健差异趋势

基本信息

批准号：
10835483
负责人：
Qingzhao Yu
金额：
$ 23.31万
依托单位：
LSU HEALTH SCIENCES CENTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-07 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10835483
关键词：
Address Administrative Supplement Adoption Affect African American Archives Award Behavior Big Data Breast Cancer Patient Code Collaborations Complex Computer software Computers Data Data Set Development Diagnosis Disparity Drops Effectiveness of Interventions Environment Epidemiology Goals Graph Health Health Disparities Research Health trends Healthcare High Performance Computing Hispanic Populations Individual Intervention Knowledge Language Louisiana Machine Learning Maintenance Mediating Mediation Mediator Methods Modeling Monitor Non-linear Models Outcome Parents Physical environment Policies Prevention Provider Public Health Recurrent Malignant Neoplasm Reporting Research Research Personnel Risk Factors Running Scientist Social Environment Social Sciences Software Engineering Statistical Methods Structure Techniques Technology Testing Time United States Visual Writing breast cancer progression breast cancer survival cancer recurrence cloud based cost disparity reduction economic disparity effective intervention experience health disparity improved machine learning algorithm malignant breast neoplasm multidimensional data novel oncotype open source parallel computer parallelization personalized medicine programs racial disparity social software development tool treatment strategy trend user-friendly

项目摘要

A Scalable Cloud-based Platform for Multiple Mediation Analysis The primary objective of the parent award (#MD012387-02) is to examine the trend of racial disparity in the use of Oncotype diagnosis among breast cancer patients. It also aims to monitor how social and physical environments, as well as individual behaviors, contribute to the racial disparities in breast cancer outcomes. To achieve these goals, the parent award focuses on developing novel mediation and moderation analysis methods using state-of-the-art machine learning algorithms and software. These methods can help identify and differentiate risk factors that explain health disparities and their changes over time, considering the potential nonlinear associations and complicated interaction effects involved. As part of the parent award, an R package mma has been generated for the newly developed method. The goal of this administrative supplement proposal is to expand the use of mma by collaborating with a software engineer in two ways. Firstly, build an interactive visual interface with drag-and-drop functionalities to enable users who are not familiar with the R language to take advantage of the R package. Secondly, refactor the mma functions to enable the use of parallel computing and GPU support in the cloud high-performance computing environment. In summary, the proposal seeks to make the advanced technology accessible and promote the widespread adoption of the novel mediation and moderation method among researchers.

一个可扩展的基于云的多中介分析平台