Health data missing value prediction method and device, computer equipment and storage medium

A technology for health data and prediction methods, applied in the computer field, can solve the problems of high computational cost, low accuracy and efficiency, and achieve the effects of reducing data redundancy, efficient prediction and completion, and reducing data noise.

Pending Publication Date: 2022-03-11
QUFU NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a method for predicting missing values ​​of health data, which aims to solve the problems of high computational cost, low accuracy and low efficiency in existing methods for predicting missing values ​​of health data

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  • Health data missing value prediction method and device, computer equipment and storage medium
  • Health data missing value prediction method and device, computer equipment and storage medium
  • Health data missing value prediction method and device, computer equipment and storage medium

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Embodiment Construction

[0026] In order to make the objects, technical solutions and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are intended to explain the present invention and is not intended to limit the invention.

[0027] In order to introduce more intuitive method proposed by the present invention, an example will be described in motivation. exist figure 1 , Assuming that there are three users (are Alice, Bob, and Tom), each user has a series of health data symbol hd ijt Health data to user i at time t, the j-th dimension. In real life, due to a system failure, operator error (such as staff archive is not timely) and other reasons, the data of medical health field often there is a missing value, if the user health data at time t lost, lost data with "?" Express. In the drawing, it can be seen, Alice in t 1 There is a missin...

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Abstract

The invention is suitable for the technical field of computers, and provides a health data missing value prediction method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-predicted health data which has a data missing value; determining a data missing value according to the to-be-predicted health data and a preset health data missing value prediction model; the preset health data missing value prediction model is obtained by dividing a plurality of pre-collected health data set samples with data missing values into a plurality of time sequence data, converting the time sequence data into a data compression matrix and then training the data compression matrix. Therefore, the rule that the user health data changes along with time can be captured by utilizing the preset health data missing value prediction model to predict the data missing value, so that the health data missing value is accurately and efficiently predicted and complemented.

Description

Technical field [0001] The present invention belongs to the field of computer technology, particularly to a method for prediction of health data missing values, means, devices and computer storage media. Background technique [0002] In the era of big data, research topics in the field of health care has become a hot topic. This is because a large number of advanced electronic science and technology (such as wearable devices, blood glucose meter, ECG, etc.) to promote the use of a large number of generated health data. Healthcare data can help people manage their health, to help doctors make an accurate diagnosis of patients, and people's health data also has great potential in scientific research. Therefore, the user health data plays a very important role in the development of medical and health field. However, in real life, often due to system updates, equipment failure, untimely filing causes of missing values, the health of the user data is incomplete. Incomplete health data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60
CPCG16H10/60
Inventor 齐连永孔令贞闫超董兆安黄万丽王斯锋
Owner QUFU NORMAL UNIV
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