首页|Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare
Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare
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NSTL
Elsevier
With the rapid development of information technologies, tremendous amount of data became readily available in various application domains. This big data era presents challenges to many conventional data analytics research directions including data capture, storage, search, sharing, analysis, and visualization. It is no surprise to see that the success of next-generation healthcare systems heavily relies on the effective utilization of gigantic amounts of medical data. The ability of analyzing big data in modern healthcare systems plays a vital role in the improvement of the quality of care delivery.
Large scaleIndexingPatientsTree partitioningSemi-supervised learning
NSTL
Elsevier
