Real-time Data Fusion Platforms: The Need of Multi-dimensional Data-driven Research in Biomedical Informatics

被引：1

作者：

Raje, Satyajeet ^{[1
]}

Kite, Bobbie ^{[2
]}

Ramanathan, Jay ^{[1
]}

Payne, Philip ^{[2
]}

机构：

[1] Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA

[2] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA

来源：

MEDINFO 2015: EHEALTH-ENABLED HEALTH | 2015年 / 216卷

关键词：

Research informatics; knowledge bases; data curation;

D O I：

10.3233/978-1-61499-564-7-1107

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Systems designed to expedite data preprocessing tasks such as data discovery, interpretation, and integration that are required before data analysis drastically impact the pace of biomedical informatics research. Current commercial interactive and real-time data integration tools are designed for large-scale business analytics requirements. In this paper we identify the need for end-to-end data fusion platforms from the researcher's perspective, supporting ad-hoc data interpretation and integration.

引用

页码：1107 / 1107

页数：1

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