First-aid intelligent evaluation decision making system for wounded person based on artificial neural network

A decision-making system and trauma technology, applied in the direction of biological neural network model, neural architecture, medical automated diagnosis, etc., can solve the problems of rapid disease progression, difficult evaluation and treatment decision-making, and low efficiency, so as to improve clinical experience and standardize treatment , the effect of reducing dependence

Pending Publication Date: 2019-03-08
PEOPLES HOSPITAL PEKING UNIV
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AI Technical Summary

Problems solved by technology

At the same time, the treatment of trauma patients is often a multidisciplinary joint treatment process. The patients are seriously injured and their condition progresses rapidly, making assessment and treatment decisions difficult. At present, there is no reliable assessment and decision-making system to assist medical staff in the treatment process, resulting in low efficiency. highly dependent on personnel
[0003] On the other hand, the current trauma treatment relies on the clinical experience of doctors, and the medical level and clinical experience of doctors in different regions and hospitals are uneven, making it difficult to achieve scientific and standardized treatment

Method used

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  • First-aid intelligent evaluation decision making system for wounded person based on artificial neural network

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Embodiment Construction

[0013] refer to figure 1 , an artificial neural network-based intelligent evaluation and decision-making system for trauma patients in this embodiment includes: a clinical trauma database, an analysis and modeling module, an auxiliary decision-making system for trauma treatment, a clinical decision support module, a doctor's self-learning interface and an expert correction interface .

[0014] The clinical trauma database is constructed by one or more hospitals and constantly receives new clinical trauma data.

[0015] The analysis and modeling module is used to analyze and model the trauma data in the clinical trauma database, which can be improved by continuous self-learning through, for example, artificial neural networks. As an advantage, the analysis and modeling process can be set up, intervened and corrected via expert correction interfaces.

[0016] The auxiliary decision-making system for trauma treatment is used to provide auxiliary decision-making information base...

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Abstract

The invention provides a first-aid intelligent evaluation decision making system for a wounded person based on the artificial neural network, and the system comprises a clinical wound database; an analysis and modeling module which is used for performing the analysis and modeling of the wound data in the clinical wound database; a wound treatment auxiliary decision making system which is used forproviding auxiliary decision making information according to an analysis result of the analysis and modeling module; and a clinical decision making support module which is used for determining whetherto perform an operation or not according to the auxiliary decision making information, and providing medical resource information for the operation. The system can provide a scientific and standard basis for the trauma care.

Description

technical field [0001] The invention relates to the field of medical equipment, in particular to an artificial neural network-based intelligent evaluation and decision-making system for first aid for trauma patients. Background technique [0002] Trauma is a major health problem faced by countries all over the world today. The World Health Organization reported that in 2000, the number of people who died of trauma worldwide was about 5 million, accounting for 9% of the total number of deaths in the world. In August 2007, the Ministry of Health of China issued the "China Injury Prevention Report", showing that about 200 million people are injured every year in my country, and about 700,000 to 750,000 people die, accounting for about 9% of the total number of deaths, and it is the fifth cause of death. It is estimated that about 62 million people seek medical treatment due to injuries every year, and the direct medical expenses reach 65 billion yuan. Trauma is most likely to...

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Application Information

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IPC IPC(8): G16H50/20G06N3/04
CPCG06N3/04G16H50/20
Inventor 姜保国
Owner PEOPLES HOSPITAL PEKING UNIV
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