Processing method of Internet-of-Things health big data
A processing method and technology of big data, applied in data processing applications, data exchange networks, neural learning methods, etc., to achieve the effect of good level protection, accurate data model, and promotion of situation prediction
Active Publication Date: 2021-01-26
SHANDONG WANLIHONG INFORMATION TECH
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Problems solved by technology
[0005] In order to solve the problems of how to perform security risk management, risk situation prediction, investigation, and governance on various data samples of Internet of Things health big data, the present invention provides a processing method for Internet of Things health big data
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[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0041] Refer below figure 1 Describe the processing method of IoT health big data according to the embodiment of the present invention.
[0042] The processing method of the Internet of Things health big data according to the embodiment of the present invention, comprises the following steps:
[0043]S1. Determine the security data format requirements of IoT health and medical big data, use the data acquisition module to collect IoT health and medical big dat...
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The invention discloses an Internet-of-Things health big data processing method, which comprises the following steps of: firstly, determining a security data format requirement of Internet-of-Things health medical big data, and then performing risk grading processing on the acquired data by a grading engine module; then, adopting a classification algorithm of neural network feature extraction andlearning, and meanwhile, introducing an AdaBoost ensemble learning method neural network feature extraction into an Internet-of-Things health big data situation point set for iterative optimization, and generating an Internet-of-Things health big data network situation model. The data model is more accurate, big data situation prediction, risk checking and governance of Internet-of-Things medicalhealth are greatly promoted, privacy data security adopts a risk grading management and control mode, privacy data can be better subjected to grade protection, and security-related departments can beassisted in taking response measures as soon as possible.
Description
technical field [0001] The present invention relates to the field of Internet of Things health big data security, in particular, to a processing method of Internet of Things health big data. Background technique [0002] In recent years, the continuous application and development of big data in the health field has provided high-quality and convenient services for the general public, and has also brought impetus to the development of science and technology in the health field. At present, the health care big data platform brings together data resources in medical services, disease prevention, maternal and child health, population and family, electronic health records, family doctor contract services, industry supervision, etc., mainly including outpatient and inpatient information, inpatient medical record information, and population case information , Electronic health records, electronic health card registration and use information, the data volume has reached more than on...
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Patent Timeline
Login to View More IPC IPC(8): G06F16/906G06N3/08G06Q10/06G16Y40/50H04L12/24H04L29/08
CPCG06N3/08G06N3/084G06Q10/0635G06F16/906G16Y40/50H04L41/145H04L67/12
Inventor 刘瑞景罗远哲李玉琼薛瑞亭任光远刘志明吕雪萍冯建业陈思杰
Owner SHANDONG WANLIHONG INFORMATION TECH