Top-k disease matching method for protecting privacy in electronic medical system

A privacy-protecting, electronic medical technology, applied in the field of electronic medical and data matching, to achieve the effect of excellent feasibility, privacy and security

Active Publication Date: 2020-04-17
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the current electronic medical system cannot perform effective Top-k disease matching under data privacy protection to realize file sharing of diagnosis and treatment, and proposes a privacy-protecting Top-k disease matching method in the electronic medical system. The method uses secure k-nearest neighbors to implement Euclidean distance weighting to protect data privacy and allow users to set different weights, so as to obtain the corresponding Top-k diagnosis and treatment files with the highest matching degree between the stored data in the cloud server and the query data

Method used

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  • Top-k disease matching method for protecting privacy in electronic medical system
  • Top-k disease matching method for protecting privacy in electronic medical system
  • Top-k disease matching method for protecting privacy in electronic medical system

Examples

Experimental program
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Effect test

Embodiment 1

[0055] This embodiment elaborates in detail the specific implementation of data encryption, data storage and data query using the secure k-nearest neighbor technology to realize the privacy-protected Top-k disease matching method in the present invention.

[0056] The overall model of a privacy-preserving Top-k disease matching method in the electronic medical system is as follows: figure 1 shown. The system mainly includes four entities: medical service providers, medical centers, cloud servers and users. In order to realize the digitalization of the medical system and shorten the time and spatial distance of users' visits, medical service providers will issue corresponding diagnosis and treatment documents based on the clinical data of real patients, and combine the clinical data of these real patients with the corresponding diagnosis and treatment documents. The file is uploaded to the cloud server. The user obtains his own physical signs through the wearable device to ge...

Embodiment 2

[0063] This example elaborates our experiments on a privacy-preserving Top-k disease matching method in an electronic medical system. We mainly experiment with the method under four scenarios.

[0064] First of all, for the experiment conducted under the scenario of different numbers of users in the electronic medical system and the number of different diagnosis and treatment files returned (that is, the value of k), we conducted a simulation experiment of matching diagnosis and treatment files in this scenario, and the experimental results Such as image 3 As shown, the x-axis represents the number of users, and the y-axis represents the execution time. This experiment is mainly carried out on the case where the user value is from 50 to 500 and the k value is 1, 5, 10, 15, 20. As the number of users increases, the time required will become longer. But when the number of users is constant, k has little effect on the execution time. One of the main reasons is that the value r...

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Abstract

The invention relates to a Top-k disease matching method for protecting privacy in an electronic medical system, and belongs to the technical field of electronic medical treatment and data matching. According to the method, Euclidean distance weighting is realized by using a safe k-nearest neighbor technology to protect data privacy and allow a user to set different weights; a multi-dimensional data query technology is provided, matching and diagnosis and treatment files of Top-k similar diseases under ciphertext are shared on the basis of multi-dimensional data query, and the integrity and correctness of the diagnosis and treatment file are verified by adopting a message authentication code. Disease matching and data sharing means that the user searches and accesses clinical data and thediagnosis and treatment file of the real patient uploaded by a medical service provider in a safe and effective manner so as to obtain the diagnosis and treatment file matched with the condition of the user. Finally, the feasibility and efficiency of the method in practical medical application are proved through experiments of a real data set and wide simulation of a virtual data set.

Description

technical field [0001] The invention relates to a privacy-protecting Top-k disease matching method in an electronic medical system, and belongs to the technical field of electronic medical treatment and data matching. Background technique [0002] In recent years, with the rapid development of human body sensors, cloud computing, and the Internet of Things, electronic medical network systems have attracted more and more attention from academia and industry. The Internet of Things can upload the human body indicator data collected by sensors to the cloud for storage. Cloud computing provides a great platform for storing large numbers of encrypted documents uploaded by data owners. In this platform, the cloud server can return the documents matching the user by accessing and searching the stored documents. This not only saves the high storage and computing costs of data owners, but also provides users with the convenience to meet their own search needs. Compared with the tr...

Claims

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Application Information

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IPC IPC(8): G16H10/60G06F21/60G06F21/62
CPCG16H10/60G06F21/602G06F21/6227G06F21/6245
Inventor 徐畅王宁宁祝烈煌张川尹润
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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