The cure: Design and evaluation of a crowdsourcing game for gene selection for breast cancer survival prediction

JMIR Serious Games

Volumn 2, Issue 2, 2014, Pages

  Good, Benjamin M ^a   Loguercio, Salvatore ^a   Griffith, Obi L ^b   Nanis, Max ^a   Wu, Chunlei ^a   Su, Andrew I ^a  

^a SCRIPPS RESEARCH INSTITUTE   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Artificial intelligence; Breast neoplasms; Collaborative and social computing systems and tools; Computer games; Crowdsourcing; Feature selection; Gene expression; Supervised learning; Survival analysis; Web applications

Indexed keywords

EID: 84975860751     PISSN: None     EISSN: 22919279     Source Type: Journal    
DOI: 10.2196/games.3350     Document Type: Article

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