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Research on Data Sharing of Medical Big Data
Author(s) -
Kaiyuan Zhang,
Youming Long
Publication year - 2022
Publication title -
international journal of education and humanities
Language(s) - English
Resource type - Journals
ISSN - 2770-6702
DOI - 10.54097/ijeh.v2i1.252
Subject(s) - upload , computer science , big data , index (typography) , cloud computing , data sharing , feature (linguistics) , data mining , world wide web , operating system , medicine , linguistics , philosophy , alternative medicine , pathology
The invention disclose a data sharing method of medical big data, which comprise that following steps of: obtaining a first rare case through rarity analysis of medical data in a first medical data share platform; Storing the first rare case and correspondingly generating a first retrieval feature; A first search feature, which obtains a first click amount and a first usage amount in a first preset period; According to the first cloud processor, constructing a first access trend prediction model; Inputting the first click amount and the first usage amount into the first access trend prediction model to obtain a first prediction index; Judging whether the first prediction index is in a preset prediction index; If so, data upload is completed on multiple related medical data sharing platforms. It solves the technical problem that the corresponding medical data sharing method is not intelligent enough based on the particularity of rare cases in the prior art, thus causing isolated circulation of rare cases.

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