Generation and evaluation of synthetic patient data

Generation and evaluation of synthetic patient data

Abstract Background Machine learning (ML) has made a significant impact in medicine and cancer research; however, its impact in these areas has been undeniably slower and more limited than in other application domains. A major reason for this has been the lack of availability of patient data to the...

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Bibliographic Details
Main Authors: Andre Goncalves, Priyadip Ray, Braden Soper, Jennifer Stevens, Linda Coyle, Ana Paula Sales
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Medical Research Methodology
Subjects:
Synthetic data generation
Cancer patient data
Information disclosure
Generative models
Online Access:http://link.springer.com/article/10.1186/s12874-020-00977-1

Internet

http://link.springer.com/article/10.1186/s12874-020-00977-1

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