DocumentCode :
25791
Title :
Crowdsourcing medical research
Author :
Riedl, John ; Riedl, E.
Volume :
46
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
89
Lastpage :
92
Abstract :
Researchers can use data from social websites dedicated to patients to develop a deeper understanding of disease processes and devise more effective treatments.
Keywords :
cancer; data handling; medical computing; outsourcing; social networking (online); Lou Gehrig disease; cancer; disease processes; life-changing illness; medical research crowdsourcing; social Web sites; social network; Crowdsourcing; Diseases; Medical services; Mobile communication; Patient monitoring; Research and development; Social network services; Outbreaks Near Me; PeopleLikeMe; computing and medicine; crowdsourcing; mobile applications; social computing; social networks;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2013.15
Filename :
6419720
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=25791
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