Multi-variable dynamic alignment diagram prediction model and application thereof

A prediction model and dynamic column technology, applied in the fields of biological information and computer programming, can solve the problems of unstable clinical practicability and low diagnostic efficiency.

Active Publication Date: 2021-06-04
WUHAN UNIV
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  • 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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  • Multi-variable dynamic alignment diagram prediction model and application thereof
  • Multi-variable dynamic alignment diagram prediction model and application thereof
  • Multi-variable dynamic alignment diagram prediction model and application thereof

Examples

Experimental program
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Embodiment 1

[0042] 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:

[0043]

[0044] 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:

[0045]

[0046]

[0047] 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).

[0048] Univariate analysis was used to find out the difference variables betwee...

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Abstract

The invention discloses a multi-variable dynamic alignment diagram prediction model and application thereof. Visual analysis is performed based on a computer programming technology, a biological information technology and predictive factor scoring parameters. The dynamic prediction model established by the invention can be used for analyzing the Henry unit density value of the blood clot after aneurysm subarachnoid hemorrhage and the scoring parameter of a serum marker after the electronic computed tomography, and is presented in a web version chart mode. The model is helpful for clinical doctors to carry out early rapid prediction on the delayed cerebral ischemia patients after aneurysm subarachnoid hemorrhage and make clinical decisions according to 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 Applications(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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