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

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...

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

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