Ovarian malignant tumor patient thrombus risk prediction model modeling method and prediction device

Abstract

The invention discloses an ovarian malignant tumor patient thrombus risk prediction model modeling method and prediction device, and the modeling method comprises the steps: obtaining clinical examination data of a research object; taking whether venous thromboembolism occurs or not as a dependent variable, and establishing a logistic regression model by using the clinical examination data to obtain independent prediction factors of venous thromboembolism; and establishing a column graph according to the independent prediction factors. According to the modeling method and the prediction device, the risk of venous thromboembolism of the patient with the ovarian malignant tumor is predicted through the column diagram constructed by using the clinical examination data, and a quantitative prediction result with higher accuracy can be obtained.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method and a prediction device for a thrombus risk prediction model for patients with malignant ovarian tumors. Background technique [0002] Ovarian malignant tumor, commonly known as ovarian cancer, is one of the common malignant tumors of female reproductive organs. The most common type of ovarian malignant tumor is epithelial ovarian cancer, and its mortality rate accounts for the first place in gynecological tumors; while venous thromboembolism refers to Blood clots abnormally in a vein, completely or partially blocking the blood vessel. [0003] Patients with malignant ovarian tumors are especially prone to venous thromboembolism. Studies have reported that up to 20% of patients with ovarian malignant tumors suffer from venous thromboembolism at the same time. Patients with malignant tumors combined with venous thromboembolism can easily lead to a decline in the quality of li...

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Problems solved by technology

[0003] Patients with malignant ovarian tumors are especially prone to venous thromboembolism. Studies have reported that up to 20% of patients with ovarian malignant tumors suffer from venous thromboembolism at the same time. Patients with malignant tumors combined with venous thromboembolism can easily lead to a decline in the quality of life of patients and even mortality raised

[0004] The factors that cause thrombosis in patients with ovarian malignancies are complex, but the conclusions of previous studies are inconsistent, and there is no strong research evidence to indicate which factors are related to thrombosis in patients with ovarian malignancies

[0005] On the other hand, for the clinical classical thrombosis risk assessment models Caprini score and Rogers score, the study found that more than 90% of patients with gynecological tumors belong to the highest risk group in Caprini score and Rogers score, and it is impossible to quantify the occurrence of thrombosis in patients with ovarian malignancies. It is difficult to accurately predict the risk of venous thromboembolism in patients with ovarian malignancies

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