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Multivariate Dynamic Nomogram Forecasting Model and Its Application

A predictive model and dynamic column technology, applied in the fields of bioinformatics and computer programming, can solve problems such as low diagnostic efficiency and unstable clinical practicability

Active Publication Date: 2022-04-29
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction model established by independent predictors has low diagnostic efficiency and unstable clinical applicability

Method used

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  • Multivariate Dynamic Nomogram Forecasting Model and Its Application
  • Multivariate Dynamic Nomogram Forecasting Model and Its Application
  • Multivariate Dynamic Nomogram Forecasting Model and Its Application

Examples

Experimental program
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Embodiment 1

[0041] A total of 86 patients with aneurysmal subarachnoid hemorrhage were collected, among these cases, DCI occurred in 32 (37.21%) patients with aneurysmal subarachnoid hemorrhage, while 54 (62.79%) patients did not develop late cerebral ischemia. The baseline information of the instance data is as follows:

[0042]

[0043] In Example 1, the clinical data of 85 patients with aneurysmal subarachnoid hemorrhage within 24 hours were collected, and the inclusion and exclusion criteria were as follows:

[0044]

[0045]

[0046] Variables such as white blood cells (WBC), neutrophils (NC), neutrophil / lymphocyte ratio (NLR), blood clot CT HU value, multiple aneurysms, and treatment methods were finally determined. Among them, white blood cells (WBC), neutrophils (NC), neutrophil / lymphocyte ratio (NLR), blood clot CT HU value, and multiple aneurysms all had statistical significance (P0.05).

[0047] Univariate analysis was used to find out the difference variables betwee...

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Abstract

The invention discloses a multivariate dynamic nomogram prediction model and its application. Visual analysis based on computer programming techniques, bioinformatics and predictor scoring parameters. The dynamic prediction model established by the present invention can be used to analyze blood clots after aneurysmal subarachnoid hemorrhage, electronic computed tomography Hounsfield unit density value and scoring parameters of serum markers, and present it in the form of a web page nomogram, which It is helpful for clinicians to perform early and rapid prediction of patients with delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage, and make clinical decisions based on the obtained results.

Description

technical field [0001] The invention relates to the technical field of computer programming and the technical field of bioinformatics, relates to visual analysis of scoring parameters of disease-related predictors, and in particular to a multivariate dynamic nomogram prediction model and its application. Background technique [0002] Intracranial aneurysm rupture is the most common cause of spontaneous subarachnoid hemorrhage (SAH), referred to as aneurysmal SAH (aSAH), and is the main event of severe adverse prognosis for patients. The main clinical feature of acute SAH is the sudden onset of very severe headache (often described as the worst headache of the patient's life), associated with signs of meningeal irritation (meningitis, photophobia), signs of intracranial hypertension (nausea and vomiting, Decreased consciousness to coma), seizures and focal neurologic deficits. The latter usually reflects cranial nerve dysfunction, intraparenchymal hemorrhage, or the onset of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 胡平陈谦学郭丽蕊李云涛徐阳叶立果孙前王易轩张思赵麟瑶朱馨艺
Owner WUHAN UNIV
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