JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing |
| 영문제목(English Title) |
Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing |
| 저자(Author) |
Hamoud Alshammari
Sameh Abd El-Ghany
Abdulaziz Shehab
|
| 원문수록처(Citation) |
VOL 16 NO. 06 PP. 1238 ~ 1249 (2020. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.
|
| 키워드(Keyword) |
Cloud Computing
Fog Computing
E-Health
Electronic Health Records
Healthcare Data Analytics
Internet of Things(IoT)
|
| 파일첨부 |
PDF 다운로드
|
