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System for predicting coronary heart disease onset risk through facial picture analysis

A coronary heart disease and picture technology, applied in the system field of predicting the risk of coronary heart disease, can solve the problems of few types of surface features, unclear definitions, and poor repeatability of manual evaluation.

Pending Publication Date: 2020-10-23
FUWAI HOSPITAL CHINESE ACAD OF MEDICAL SCI & PEKING UNION MEDICAL COLLEGE +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the types of facial features that have been discovered so far are few, the definitions are not clear, and the repeatability of manual judgment is poor, which makes facial features unable to be routinely used in coronary heart disease screening.

Method used

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  • System for predicting coronary heart disease onset risk through facial picture analysis
  • System for predicting coronary heart disease onset risk through facial picture analysis
  • System for predicting coronary heart disease onset risk through facial picture analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] Example 1 Analyzing facial pictures by deep learning algorithm to predict the establishment of coronary heart disease model

[0059] Embodiment 1 is a preferred embodiment of a system for predicting the risk of coronary heart disease by facial picture analysis provided by the present invention, such as figure 1 As shown, it consists of the following modules:

[0060] Data acquisition module, data preprocessing module, machine learning module, risk assessment module, expert system module, display output module;

[0061] The output end of the data acquisition module is connected to the input end of the data preprocessing module, the output end of the data preprocessing module is connected to the input end of the machine learning module and the risk assessment module, and the machine learning module's The output terminal is connected with the input terminal of the expert system module, the output terminal of the expert system module is connected with the input terminal of...

Embodiment 2

[0099] Example 2 The system for predicting the risk of coronary heart disease by facial picture analysis is a test for predicting the incidence probability of coronary heart disease in patients

[0100] 4052 photos of 1013 patients with coronary heart disease and the results of coronary CT or coronary angiography were used as the test set for model testing. All patients have received informed consent for facial pictures and data collection. The process is as follows: Figure 4 shown.

[0101] The method for processing the patient's coronary CT or coronary angiography results is the same as that in Example 1.

[0102] In a possible implementation, the patient uses a data acquisition module to collect facial pictures of the patient. The data acquisition module is a digital camera with 10 to 20 million pixels, set to P file, IOS 1600, and continuous shooting mode. The data collection needs to meet the following requirements: (1) The patient was taken before the coronary diagnos...

Embodiment 3

[0109] Example 3 Practical Application of Facial Image Analysis to Predict the Risk of Coronary Heart Disease

[0110] In a possible implementation manner, the above system is carried on a set of terminal equipment. The device includes a storage medium and a processor. The storage medium stores a coronary heart disease judgment program based on deep learning, and the coronary heart disease judgment program based on deep learning can be executed by at least one processor, so that the at least one processor performs the above-mentioned deep learning-based judgment program. Coronary heart disease prediction, and then feedback the prediction results and related suggestions to the user, the process is as follows Figure 6 shown.

[0111] If the patient is predicted by the model as a "patient with coronary heart disease", the patient is prompted to take the following measures: (1) pay close attention to changes in symptoms of suspected coronary heart disease; (2) see a doctor for ...

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Abstract

The invention provides a system for predicting a coronary heart disease onset risk through facial picture analysis. The system is composed of a data acquisition module, a data preprocessing module, amachine learning module, a risk assessment module, an expert system module and a display output module. According to the system for predicting the coronary heart disease onset risk through facial picture analysis, coronary heart disease prediction can be performed by analyzing human facial pictures, and the obtained result is superior to the result of an existing clinical model; operation is easy,photographing can be achieved, assistance of doctors is not needed, a user can achieve coronary heart disease screening completely through self-reporting, and use is easy and convenient; and comparedwith the prior art, the system is more suitable for large-range community screening of high-risk populations.

Description

technical field [0001] The invention belongs to the fields of artificial intelligence and clinical medicine, and relates to a system for predicting the risk of coronary heart disease by analyzing facial pictures. Background technique [0002] Coronary atherosclerotic heart disease (referred to as "coronary heart disease") is the second leading cause of death and disability in my country. Coronary heart disease has a long development cycle, and early detection can be prevented and cured. Therefore, there is an urgent need for reliable coronary heart disease screening tools that can be used in the community to promote early detection, early diagnosis and treatment, improve the long-term prognosis of patients, and reduce the burden of disease. [0003] At present, the most commonly used prediction model for coronary heart disease is the Diamond-Forrester model, which predicts the probability of coronary heart disease according to the patient's age, gender, and symptoms, and gui...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/20G16H10/60G06N20/00
CPCG16H50/30G16H50/20G16H10/60G06N20/00Y02A90/10
Inventor 郑哲季向阳林深李志刚王小易符博闻
Owner FUWAI HOSPITAL CHINESE ACAD OF MEDICAL SCI & PEKING UNION MEDICAL COLLEGE
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