Chronic disease aggravation risk assessment and alarm system

A technology of risk assessment and warning system, applied in health index calculation, medical data mining, medical informatics, etc.

Inactive Publication Date: 2019-05-28
PEKING UNIV THIRD HOSPITAL +1
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Problems solved by technology

The development of deep learning models provides new ideas and solutions for medical data analysis, but how to effectively combine medical prior knowledge to apply deep models to the medical field still faces great challenges

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  • Chronic disease aggravation risk assessment and alarm system
  • Chronic disease aggravation risk assessment and alarm system
  • Chronic disease aggravation risk assessment and alarm system

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Embodiment Construction

[0013] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0014] Such as figure 1 Shown is the overall frame diagram of the present invention, including a preprocessing module, a core index feature extraction module, a multidimensional time series data feature extraction module, and a feature fusion and early warning module; the preprocessing module performs comprehensive preprocessing on medical data to obtain core indicators The historical sequence ...

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Abstract

The invention provides a chronic disease aggravation risk assessment and alarm system. The system comprises a preprocessing module, a core index feature extraction module, a multi-dimensional time sequence data feature extraction module and a feature fusion and early warning module. The preprocessing module carries out comprehensive preprocessing on medical data to obtain a historical sequence ofcore index data and the historical data of multi-dimensional features. The core index feature extraction module establishes a correlation between a time interval between adjacent time points in a historical sequence of the core index data and long-term memory transfer to obtain a first group of reference features. The multi-dimensional time sequence data feature extraction module extracts the multi-dimensional time sequence data to obtain a second group of reference features. The feature fusion and early warning module fuses the first group of reference features and the second group of reference features, and then performs early warning analysis.

Description

technical field [0001] The invention relates to an assessment and warning system, in particular to a chronic disease exacerbation risk assessment and warning system. Background technique [0002] With the improvement of living standards, the main cause of human death has gradually shifted from accidental injuries and infectious diseases to chronic diseases. The proportion has increased dramatically in the past two decades. Chronic diseases, due to their long onset cycle and high recurrence, have brought a huge burden on patients and medical institutions. Effective preventive measures and early diagnosis can provide timely medical intervention and reduce the loss of human and material resources caused by the aggravation of the disease. . Therefore, how to diagnose chronic diseases as early as possible and predict the condition of patients with chronic diseases has very important practical significance. [0003] At the same time, the rapid development of information technol...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/70
Inventor 陈亚红李建欣周号益孙婉璐张迎春彭士杰
Owner PEKING UNIV THIRD HOSPITAL
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