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

一个可扩展的基于云的多中介分析平台 家长奖（#MD012387-02）的主要目的是检查种族 在乳腺癌患者中使用Oncotype诊断的差异。它还旨在监测 社会和物理环境以及个人行为如何影响种族 乳腺癌预后的差异。为了实现这些目标，家长奖的重点是 使用最先进的机器开发新的调解和适度分析方法 学习算法和软件。这些方法可以帮助识别和区分风险因素 考虑到潜在的非线性， 关联和复杂的交互作用。 作为母公司奖励的一部分，已为新开发的 法这项行政补充提案的目标是通过以下方式扩大mma的使用 以两种方式与软件工程师合作。首先，建立交互式的可视化界面 具有拖放功能，使不熟悉R语言的用户能够 利用R包。其次，重构mma函数以启用 云高性能计算环境中的并行计算和GPU支持。 总括而言，该建议旨在使先进技术更容易获得，并促进 在研究人员中广泛采用新的调解和适度方法。

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.