构建可扩展的整合基础设施以协调医疗和基因组数据用于临床决策支持

资源简介

构建可扩展的整合基础设施以协调医疗和基因组数据用于临床决策支持

【一句话概览】

本数据集是 figshare 公开的多模态数据集，收录 1 个文件、合计 7.76 MB，主题涵盖 Machine Learning、Digital Health、Electronic Health Records、EHR、Predictive Modelling，可用于跨模态对齐与融合建模研究，In Copyright 许可开放获取。

【数据集背景】

本数据集源站标题为《Building Scalable, Integrative Infrastructure to Harmonize Healthcare and Genomic Data for Clinical Decision Support》。源站首次发布：2025-01-21。

【数据内容】

源站原始描述：Infectious diseases, such as sepsis, can be life-threatening in the absence of timely administration of appropriate treatments. These diseases result from pathogenic infections, with disease progression influenced by complex interactions between the host and the infecting agent. Machine learning, offer potential for early identification by leveraging integrated datasets that encompass both patient responses from institutional health records and pathogen-specific infection factors. To facilitate…

【数据结构与技术规格】

文件数 1 个，合计 7.76 MB。数据集 DOI：10.26180/28245590.v1。

【主题与分类】

源站学科分类：Artificial intelligence not elsewhere classified、Digital health、Translational and applied bioinformatics、Machine learning not elsewhere classified、Health informatics and information systems。主题标签：Machine Learning、Digital Health、Electronic Health Records、EHR、Predictive Modelling、Data Integration。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面：https://bridges.monash.edu/articles/thesis/Building_Scalable_Integrative_Infrastructure_to_Harmonize_Healthcare_and_Genomic_Data_for_Clinical_Decision_Support/28245590

使用许可：In Copyright（http://rightsstatements.org/vocab/InC/1.0/）。

规范引用：Ramakrishnaiah, Yashpal (2025). Building Scalable, Integrative Infrastructure to Harmonize Healthcare and Genomic Data for Clinical Decision Support. Monash University. Thesis

【使用注意】

· 源站最后修改于 2026-02-11，引用时请注意版本时效。