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Prediction model system and recording medium for prognosis of severe spinal cord injury

A technology for spinal cord injury and prediction model, which is applied in computational models, medical simulation, character and pattern recognition, etc.

Active Publication Date: 2021-06-18
THE THIRD AFFILIATED HOSPITAL OF SUN YAT SEN UNIV +1
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Problems solved by technology

However, it is often impossible to give an objective and quantifiable prognostic probability when explaining the patient's condition to the patient's family.

Method used

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  • Prediction model system and recording medium for prognosis of severe spinal cord injury
  • Prediction model system and recording medium for prognosis of severe spinal cord injury
  • Prediction model system and recording medium for prognosis of severe spinal cord injury

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Embodiment Construction

[0045] The present invention is a prediction model system for the prognosis of severe spinal cord injury based on the clinical data of patients with severe spinal cord injury. For clinical features, according to the type of extracted clinical features, different filling methods are used to process the missing data. Continuous variable features are filled with the predictive mean matching method, binary variable features are filled with logistic regression, and multi-category variable features are filled with polynomial regression. Finally, different features are obtained and randomly divided into training data sets and test data sets according to a reasonable ratio; the feature selection method * machine learning classification algorithm is incorporated into the algorithm combination model, and the feature selection method is used to screen clinical features with significant predictive value. The selected clinical features are used to train the machine learning classification a...

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Abstract

The invention discloses a prediction model system for prognosis of severe spinal cord injury. The prediction model system comprises the following steps: establishing a clinical feature database of patients with spinal cord injury; constructing a severe spinal cord injury prognosis prediction model; according to the final prediction model, predicting probability values of death, continuing professional rehabilitation nursing treatment and returning home of the patient at the discharge end point, inputting the probability values to a formula 1, and giving a final prediction probability value, and the formula 1 is shown in the description. The invention also discloses a computer readable recording medium. According to the method, the probability of the discharge end point is calculated based on the clinical history, and important clinical characteristics influencing clinical results of patients with severe spinal cord injury are found out.

Description

technical field [0001] The invention relates to a prediction model system and a recording medium for the prognosis of severe spinal cord injury. Background technique [0002] Patients with spinal cord injury are often admitted to the intensive care unit (ICU) due to major trauma or serious complications, so their prognosis is of great concern to clinicians and patients' families. However, how to accurately predict the prognosis of severe spinal cord injury is a clinical problem. Clinically, doctors often judge the prognosis of patients based on experience to formulate a diagnosis and treatment plan. However, it is often impossible to give an objective and quantifiable probability of prognosis when explaining the patient's condition to the patient's family. Therefore, it is particularly important to need an accurate and objective system for predicting the prognosis of patients with severe spinal cord injury to assist clinicians. Contents of the invention [0003] In orde...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H50/50G06K9/62G06N20/00
CPCG16H50/70G16H50/50G06N20/00G06F18/241G06F18/214Y02A90/10
Inventor 戎利民范国鑫刘华清庞卯刘斌张良明黄桂芳韩蓝青
Owner THE THIRD AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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