Boe technology group co., ltd. (20240186011). METHOD AND DEVICE FOR DISEASE RISK PREDICTION, STORAGE MEDIUM AND ELECTRONIC DEVICE simplified abstract

METHOD AND DEVICE FOR DISEASE RISK PREDICTION, STORAGE MEDIUM AND ELECTRONIC DEVICE

Organization Name

boe technology group co., ltd.

Inventor(s)

Zhenzhong Zhang of Beijing (CN)

METHOD AND DEVICE FOR DISEASE RISK PREDICTION, STORAGE MEDIUM AND ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240186011 titled 'METHOD AND DEVICE FOR DISEASE RISK PREDICTION, STORAGE MEDIUM AND ELECTRONIC DEVICE

Simplified Explanation

The present disclosure provides a method and device for disease risk prediction, a computer readable storage medium, and an electronic device, which relates to the field of data processing. The method includes: obtaining risk feature data of a target user; and determining, by a disease risk prediction model based on the risk feature data, a disease risk value of the target user and a reliability score of the disease risk value.

• Disease risk prediction method and device:

   - Obtaining risk feature data of a target user
   - Determining disease risk value and reliability score using a prediction model

Potential Applications: This technology can be applied in healthcare settings to predict disease risks for individual patients, allowing for early intervention and personalized treatment plans.

Problems Solved: This technology helps in identifying potential health risks in individuals, enabling proactive measures to be taken to prevent or manage diseases effectively.

Benefits: - Early detection of disease risks - Personalized healthcare interventions - Improved patient outcomes

Potential Commercial Applications of Disease Risk Prediction Technology: The technology can be utilized by healthcare providers, insurance companies, and wellness programs to offer personalized health assessments and interventions to their clients.

Possible Prior Art: One example of prior art in disease risk prediction is the use of machine learning algorithms to analyze health data and predict the likelihood of developing certain diseases based on risk factors.

Unanswered Questions: 1. How accurate is the disease risk prediction model in real-world scenarios? 2. What measures are in place to ensure the privacy and security of the user's health data in the prediction process?

Original Abstract Submitted

the present disclosure provides a method and device for disease risk prediction, a computer readable storage medium and an electronic device, which relates to the field of data processing. the method includes: obtaining risk feature data of a target user; and determining, by a disease risk prediction model based on the risk feature data, a disease risk value of the target user and a reliability score of the disease risk value.