Prognostic indicator prediction system for patient with brain injury

Abstract

The invention relates to a prognostic indicator prediction system for a patient with brain injury. The system comprises the steps of sampling, establishing a mathematical model and establishing a human-computer interaction interface so as to realize that the prognostic indicator prediction value of the patient is immediately obtained by inputting the admission indicator of the brain injury patient. The clinical data of a certain number of brain injury patients admitted in the hospital are analyzed, the number of samples is more than 100, the age, the gender, the APACHE II score, the GCS score,the RASS sedation score and other indicators at admission are collected as the admission indicator data. The follow-up Glass outcome scores (GOS) from three months to one year are used as the prognostic indicator data to establish the mathematical model between the prognostic indicators and the admission indicators of the brain injury patients, and the human-computer interaction interface is established so that the admission indicators of the brain injury patient are inputted and then the prognostic indicator prediction value of the patient can be obtained immediately. With application of theprediction system, the prognosis condition of the brain injury patient can be evaluated in advance, and the input of more medical resources to the patients in the long-term death or vegetative survival state can be reduced so that the limited medical resources can be reasonably allocated.

Description

technical field [0001] The invention relates to a diagnosis and prediction system for critically ill patients, in particular to a prediction system for prognosis indicators of brain injury patients. Background technique [0002] Brain injury is mainly caused by traffic accidents, falls, falls, and firearm injuries. Brain injury deaths account for 70% of all traumatic deaths, and its mortality and disability rates rank first among all injuries in the body. In addition to correct diagnosis and timely operation, strengthening monitoring is an important aspect of treating patients with severe craniocerebral injury. When patients with craniocerebral injury are admitted to the hospital, the vital signs, blood gas analysis, laboratory tests, bleeding volume, midline shift and other indicators are collected. It is found in clinical practice that these admission indicators have a certain correlation with the patient’s prognosis indicators. However, due to the large number of admissio...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that patients with brain injury cannot accurately predict the prognosis in advance before admission, the present invention establishes a mathematical model between the prognosis index of the brain injury patient and the admission index, and establishes a human-computer interaction interface to realize the input of the brain injury patient. The admission index of the patient can be obtained immediately, and the predicted value of the patient's prognosis index can be obtained immediately, and the prognosis of the brain injury patient can be predicted in time.

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