Disease risk analysis method and device, electronic equipment and computer storage medium
A disease risk and analysis method technology, applied in the fields of devices, disease risk analysis methods, electronic equipment and computer-readable storage media, can solve the problems of low prediction accuracy, many human subjective factors, low prediction efficiency, etc. Improve efficiency, improve efficiency and accuracy, improve the effect of accuracy
Pending Publication Date: 2020-09-22
PING AN TECH (SHENZHEN) CO LTD
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[0003] In the prior art, the method for analyzing the risk of disease mainly uses methods with strong interpretability such as logistic regression and decision tree. However, due to the many subjective factors in this method, the prediction accuracy is not high and the prediction low efficiency
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[0051] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0052] The executor of the disease risk analysis method provided in the embodiment of the present application includes but not limited to at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the disease risk analysis method can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
[0053] Blockchain is a new application model of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain (Blockc...
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The invention relates to a data processing technology, and discloses a disease risk analysis method, which comprises the steps of obtaining a training data set and classifying the training data set toobtain a classification data set; training a plurality of pre-constructed weak classifiers by utilizing the classification data set, selecting a plurality of target weak classifiers from the plurality of trained weak classifiers, and aggregating the target weak classifiers into a disease model; obtaining a to-be-judged user data set, and preprocessing the to-be-judged user data set to obtain a target data set; establishing an index relationship between the target data set and the classification data set; matching the target data set with the classification data set according to the index relationship to obtain a matching data set; and utilizing the disease model to analyze and calculate the matching data set to obtain a disease analysis result. In addition, the invention also relates to ablockchain technology, and the basic data and / or the feature data can be stored in the blockchain node. According to the invention, the problems of low analysis efficiency and low analysis accuracy of disease risks can be solved.
Description
technical field [0001] The present invention relates to the technical field of data processing, in particular to a disease risk analysis method, device, electronic equipment and computer-readable storage medium. Background technique [0002] With the rise of big data, data processing technology has been applied in various fields. Today, people pay more and more attention to their health. In the medical field, there is no lack of using various information and data of patients to analyze people's health status and disease risk. Analysis, data processing techniques to assess health status. [0003] In the prior art, the method for analyzing the risk of disease mainly uses methods with strong interpretability such as logistic regression and decision tree. However, due to the many subjective factors in this method, the prediction accuracy is not high and the prediction low efficiency. Therefore, how to achieve high-precision and high-efficiency analysis of the risk of disease h...
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IPC IPC(8): G16H50/20G16H50/30G06K9/62
CPCG16H50/20G16H50/30G06F18/214G06F18/2431
Inventor 李映雪
Owner PING AN TECH (SHENZHEN) CO LTD