Early death risk assessment model establishing method and device based on ensemble learning

A risk assessment model and integrated learning technology, which is applied in the field of early death risk assessment model establishment for multiple organ failure in the elderly, can solve problems such as many complications, adults cannot apply to the elderly, and organ function connection is not taken into account. Good effect on model performance

A risk assessment model and integrated learning technology, which is applied in the field of early death risk assessment model establishment for multiple organ failure in the elderly, can solve problems such as many complications, adults cannot apply to the elderly, and organ function connection is not taken into account. Good effect on model performance

CN110827993AInactive Publication Date: 2020-02-21BEIHANG UNIV +1
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  • Early death risk assessment model establishing method and device based on ensemble learning
  • Early death risk assessment model establishing method and device based on ensemble learning
  • Early death risk assessment model establishing method and device based on ensemble learning

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Experimental program
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Embodiment Construction

[0058] In the following, the method and device for establishing an early death risk assessment model based on integrated learning of the present application will be described in detail with reference to the accompanying drawings.

[0059] The disease / outcome prediction model and device based on electronic health records proposed by the present invention are mainly used for early prediction of the probability / risk of adverse outcomes in elderly patients with multiple organ failure during hospitalization. The grounded risk assessment model fully automatically assesses the disease severity of elderly patients with multiple organ failure early, helping doctors to intervene and treat patients at risk of deterioration early. The present invention utilizes the large sample data accumulated in the electronic health records for many years, can develop models quickly, effectively and at low cost, and effectively solves the problems of time-consuming, labor-intensive and huge cost in clin...

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Abstract

The invention provides an early death risk assessment model establishing method and device based on ensemble learning. The method and device are used for assessing the death risk of an old multi-organfailure patient during hospitalization based on diagnosis and treatment data of the first day when the old multi-organ failure patient enters an intensive care unit. The method comprises the steps ofdata set construction, data processing and model construction and evaluation. The method comprises the following steps: acquiring three pieces of demographic information, five pieces of vital sign information, five laboratory examination indexes and two clinical indexes of a patient on the first day during living in an intensive care unit; inputting the data into a risk assessment device, and carrying out internal data preprocessing, feature calculation and model operation. Finally, the risk of adverse outcomes in the hospital of the patient can be predicted early, and doctors are helped to treat the patient as soon as possible.

Description

technical field [0001] The present invention relates to a death risk assessment method and device, in particular to a method and device for establishing an early death risk assessment model for multiple organ failure in the elderly based on integrated learning. Background technique [0002] Multiple organ failure syndrome (MODS) is characterized by the progressive physiological dysfunction of two or more organs (organ systems) stimulated by certain triggers. Multiple organ failure in the elderly (MODSE) is a clinical syndrome with insidious onset, multiple etiologies, complex pathogenesis, and easy to be ignored by clinicians. It is an important cause of death in elderly critically ill patients. According to relevant literature reports, if three or more organ failures occur, the mortality rate is 50% to 100%. At the same time, its treatment and nursing costs are very huge. According to statistics, the average medical cost per patient is about 22,000 US dollars, and the tota...

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Application Information

Patent Timeline
21 Feb 2020
Publication
CN110827993A
IPC
G16H50/70; G16H50/30; G06K9/62; G06N20/20
CPC
G16H50/70; G16H50/30; G06N20/20; G06F18/214
Inventors
李德玉; 刘晓莉