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Author Razavian, Narges
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Suchi Saria of Johns Hopkins University shares how big data and machine learning can help improve the practice of healthcare, and how computing students can contribute.
Description Affiliation: New York University (Razavian, Narges)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 21
Issue Number 4
Page Count 4
Starting Page 34
Ending Page 37


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Source: ACM Digital Library