Method for creating a prediction model for predicting the risk of glaucoma in a subject, method for determining the risk of glaucoma in a subject using such a prediction model, device for predicting the risk of glaucoma in a subject, computer program, and computer-readable medium
Patent Information
- Application Number
- DE602020051552
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2020-04-09
- Publication Date
- 2025-05-21
- Estimated Expiration
- 2040-04-09
AI Technical Summary
Current glaucoma diagnosis methods rely heavily on intraocular pressure assessment, which can lead to erroneous diagnoses, especially in cases with normal pressure, and are cumbersome, time-consuming, and prone to errors, necessitating a more effective and reliable method for predicting glaucoma risk.
A predictive model using machine learning algorithms to analyze 24-hour profiles of eyeball and cardiovascular system parameters, including correlations and additional features like age, corneal resistance, and hysteresis, to classify subjects as healthy or diseased, facilitating early risk assessment and personalized treatment.
The model provides an ultra-early and accurate glaucoma risk assessment, enabling personalized therapy and reducing the complexity of traditional diagnostic processes, thereby improving patient outcomes.