Résumé
The relevance analysis methods for the association between environmental factors (air pollutants, fine particles, climate conditions, toxic materials) and diseases (lung cancer and asthma, etc) were studied by mining the open access scientific data in American environmental health field, which realized their practical application and can thus provide reference for studying the association between environments and diseases in our country.
Résumé
A model of classification techniques was established according to the sex and age by quantitative analy-sis of the risk factors for air popplution-induced respiratory diseases using the C4 .5 decision-making tree classifi-cation.The classification-based quantitative analysis was studied.The role of risk factors for respiratory diseases in 9 groups of people was assayed .This method can be used to analyze the risk factors for both respiratory diseases and other diseases in different populations, and can thus provide the evidence for their prevention and control.
Résumé
After the current studies on mobile health in China and foreign countries were described, the mobile APP for health management of diabetes mellitus was developed using data mining technology, which can be used to assess the risk of diabetes mellitus, monitoring the symptoms and signs of diabetes mellitus patients, medication and diet management of diabetes mellitus patients, health-related knowledge push, and public health management.