A CLOUD-BASED COMPREHENSIVE HEALTH INFORMATION SYSTEM FRAMEWORK

被引：0

作者：

Wu, Dianshuang ^{[1
]}

Hussain, Farookh ^{[1
]}

Zhang, Guangquan ^{[1
]}

Lu, Jie ^{[1
]}

Unwin, Jason ^{[2
]}

Rance, George ^{[2
]}

机构：

[1] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Decis Syst & E Serv Intelligence Lab, Sydney, NSW, Australia

[2] Workforce Hlth Assessors, Hobart, Tas, Australia

来源：

UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2016年 / 10卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Big data appearing in health domain bring great opportunities for the health information system development. To effectively utilize the big health data, three challenges: data heterogeneity, huge data volume and high velocity of data generation, and various kinds of user requirements, need to be dealt with. To solve the problem, this paper proposes a cloud-based comprehensive health information system framework, which uses cloud computing techniques to manage and process the big health data, and provides several data analysis and recommendation services to explore the data and extract values from them.

引用

页码：612 / 617

页数：6

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