A non-invasive risk model for prediction of diseases
10.3760/cma.j.issn.1674-0815.2009.03.010
- VernacularTitle:一种无创型发病危险评估模型的建立方法
- Author:
Hong ZHAO
- Publication Type:Journal Article
- Keywords:
Non-invasive risk assessment;
Cardiovascular diseases;
Model,machine learning;
Prospective studies
- From:
Chinese Journal of Health Management
2009;3(3):166-169
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a method for nou-invasive risk model that can be used in health management system and primary healthcare centers. Methods Based on systematic phenotype measurement and modified superviser-based machine learning, an applicable and low-cost method for non-invasive disease risk prediction model was developed. Invasive risk assessment model for Chinese isehemic cardiovascular diseases (ICVD) was used as a supervised standard reference to provide evidence based non-invasive model with skin resistance on 24 acupeints. Results A total of 4606 cases from a physical examination system were collected to develop the model. For those reasonable evaluation indeies, the coincidence of non-invasive with invasive risk prediction model was > 90% on average level. Conclusions This method could be used to develop non-invasive risk assessment model for the common diseases.
