Disease onset risk prediction device, prediction marker set, prediction method, program, and recording medium
The device predicts skeletal or joint disease risk using disease-related information and a Cox model, addressing the limitations of complex measurements by enabling easy and accurate risk assessment for health awareness and lifestyle improvements.
WO2025173350A1 Publication Date: 2025-08-21NEC SOLUTION INNOVATORS LTD
4 Cites 0 Cited by
Patent Information
- Application Number
- PCT/JP2024/042288
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-02-16
- Filing Date
- 2024-11-29
- Publication Date
- 2025-08-21
AI Technical Summary
Technical Problem
Existing methods for predicting the risk of skeletal or joint diseases are limited by the need for complex and invasive measurements, such as bone density assessments, which are not easily accessible for widespread health awareness and lifestyle improvement.
Method used
A device and method utilizing disease-related information, including age, obesity, hypertension, and other factors, to predict the risk of skeletal or joint diseases through a health checkup and wearable data, employing a Cox proportional hazards model for prediction.
Benefits of technology
Enables easy and accurate prediction of disease onset risk, allowing for personalized health management and lifestyle interventions based on disease-related information.
✦ Generated by Eureka AI based on patent content.
Abstract
The purpose of the present invention is to provide a disease onset risk prediction device for predicting the risk of onset of a skeletal disease or joint disease from disease-related information of a prediction target individual. The disease onset risk prediction device according to the present disclosure comprises an information acquisition unit, a prediction unit, and an output unit, wherein: the information acquisition unit acquires disease-related information of a prediction target individual; the disease is a skeletal disease or a joint disease; the disease-related information includes at least one of information acquired through a medical checkup and information acquired by the prediction target individual; the prediction unit predicts the risk of onset of the disease in the prediction target individual from the disease-related information; and the output unit outputs the disease onset risk.
Need to check novelty before this filing date? Find Prior Art