Accurate early warning auxiliary diagnosis model system based on high-risk HPV positive
By studying the quantitative relationship between routine blood and urine biological indicators and HR-HPV, an HR-HPV positive warning model was established, which solved the problem of detection relying on subjective judgment and insufficient correlation in existing technologies, and achieved accurate warning of high-risk HPV infection and improved screening efficiency.
Patent Information
- Application Number
- CN202511116493.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-11
- Publication Date
- 2025-10-03
AI Technical Summary
The existing high-risk HPV positive precise warning auxiliary diagnosis model system relies on the doctor's subjective judgment during the detection process and lacks accurate quantitative basis, resulting in missed or misdiagnosis, low screening coverage, and insufficient research on the correlation between conventional detection methods and HR-HPV infection, failing to form an effective warning basis.
The quantitative relationship between routine blood and urine biological indicators and HR-HPV positivity was studied through the indicator association analysis module. The HR-HPV positivity early warning model was established using the correlation analysis algorithm and the multivariate analysis algorithm to determine the early warning threshold. The model accuracy and stability were optimized by combining the model verification, evaluation and optimization modules.
It provides a positive early warning model for HR-HPV infection based on health screening big data, improves the objectivity and accuracy of detection, enhances screening efficiency, provides a reliable basis for HPV detection, and helps prevent HPV infection and cervical disease.