Medical Monkeys: A Crowdsourcing Approach to Medical Big Data

作者: Lorenzo Servadei , Rainer Schmidt , Christina Eidelloth , Andreas Maier

DOI: 10.1007/978-3-319-73805-5_9

关键词:

摘要: Big data play a central role in eHealth and have been crucial for designing implementing clinical decisions support systems. Those applications can avail on analysis response capabilities, often empowered by Machine Learning algorithms, which help clinician diagnostic as well therapeutic decisions. On the other hand, context of eSociety, eCommunities be essential actors managing structuring medical data. In fact, they gathering, providing labeling This last task is highly relevant Data, it key point supervised need an extensive annotation process. improves prediction capabilities algorithms large datasets. Our approach Data problem design prototyping crowdsourcing collaborative Web Application, used images, that we named Medical Monkeys. Under principles mutual advantage collaboration researchers, online gamers, students patients will involved, within this platform, virtual mutually beneficial cooperation improving algorithms. Using our application scale analysis, image segmentation become useful result several universities research institutes has, principal aim, integration, form gaming tasks, implementation more accurate MRI or CT images.

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