BIG HEALTH DATA: A SYSTEMATIC MAPPING STUDY

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Lbrini, S.^1¹  Fadil, A.^2² 

[1] Geoscience Laboratory, Aïn Chock Faculty of Science, Km 8 El Jadida Road, BP:5366, Casablanca, Morocco^1;Hassania School of Public Works, km 7, El Jadida Road, BP: 8108, Casablanca, Morocco^2

关键词: Big data;    Health;    real time;    systematic mapping study;    gis;   

DOI  :  10.5194/isprs-archives-XLII-4-W12-113-2019

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

The Big Data, a result of the digital revolution, offers several opportunities in the field of health. Indeed, appliances and applications permanently connected to humans and the global digitalization of medical documents produce a vast health data: "Big Health Data". This data is the subject of several projects in the world given the opportunities offered to optimize this area. This paper focuses on quantifying the production of scientific articles about Big Health Data research and the most investigated Big Health Data topics. It also presents a mapping of countries producing articles about this subject. In remote sensing using real time categories, we aimed to quantify articles dealing with “big data architectures”, technologies and data sources used. A systematic mapping study was conducted with a set of seven research questions by investigating articles from two digital libraries: Scopus and Springer. The study concern articles published in 2017 and the first half of 2018. The results are illustrated by diagrams answering each question from which a set of recommendations are concluded in this area of research. The study shows that this Data is used the most in studies of oncology. Statistics show that while remote sensing and monitoring is a hot topic, real-time use is not as interesting. It was found that there’s a lack in studies interested in big data technologies used in real time remote sensing in the field of health. In conclusion, we recommend more focus on research area treating architecture in remote sensing real time Big Health Data systems combined with geolocation.

【 授权许可】

CC BY