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A multi-center collaborative prognosis prediction system under a data sharing strategy

A data sharing and prediction system technology, applied in patient-specific data, digital data protection, electronic digital data processing, etc., can solve problems such as poor scalability, affecting computing and storage efficiency, and achieve the effect of protecting personal privacy

Active Publication Date: 2021-08-03
ZHEJIANG LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these encryption methods can prevent information leakage and data exchange, they will significantly affect computing and storage efficiency, have poor scalability, and are not suitable for processing large clinical data under multi-center

Method used

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  • A multi-center collaborative prognosis prediction system under a data sharing strategy
  • A multi-center collaborative prognosis prediction system under a data sharing strategy
  • A multi-center collaborative prognosis prediction system under a data sharing strategy

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Embodiment Construction

[0017] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0018] The present invention provides a multi-center collaborative prognosis prediction system under a novel data sharing strategy, such as figure 1 As shown, it includes the following four modules:

[0019] (1) Data acquisition module: collect the data of each variable required for patient prognosis prediction in each medical institution center, and use it as the source data set of the medical institution center. This embodiment adopts the data of colorectal cancer for experimental verification, wherein the number of medical institution centers is 5, and the electronic medical record data samples collected by each medical institution center through the data acquisition module are shown in Table 1, including age, gender , tumor size, T stage, N stage, and carcinoembryonic antigen index and other data information of six variables.

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Abstract

The invention discloses a multi-center collaborative prognosis prediction system under a data sharing strategy. The system can realize privacy-protected data sharing under multiple medical institution centers, thus providing enough data for model construction. The present invention uses an integrated learning algorithm that can obtain better prediction results than weak classifiers to construct the system. The system processes sensitive patient-level data at each center and simultaneously constructs sub-classifiers of the ensemble learning model, exchanging only less sensitive intermediate results to build a complete ensemble learning model, thus ensuring that the proposed multi-center model is compatible with The centralized model has the same or even better results. The multi-center collaborative prognosis prediction system of the present invention protects the personal privacy of patients and does not need to run algorithm models on large centralized data sources. solution.

Description

technical field [0001] The invention belongs to the fields of medical treatment and machine learning, and in particular relates to a multi-center collaborative prognosis prediction system under a data sharing strategy. Background technique [0002] Prognosis prediction plays an important role in clinical research and practice. Predictive models constructed based on electronic health record (EHR) data from a single medical institution may lack sufficient statistical power and good generalization ability. Therefore, the construction of a prognosis prediction model based on the collaborative analysis of electronic health record data in multiple medical institution centers can be used to increase the number and coverage of patients used for model training, enrich the prognostic characteristics of patients, and ultimately improve the accuracy and accuracy of the model's prognosis prediction. Generalization. Integrated learning is an algorithm that is widely used in clinical pro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/62G06K9/62G16H10/60
CPCG06F21/6245G16H10/60G06F18/241
Inventor 李劲松李谨田雨吴承凯池胜强
Owner ZHEJIANG LAB