Classification of lung condition for early diagnosis of pneumonia and tuberculosis based on embedded system

The lungs are the main organs in respiratory system that have a function as place for exchange of oxygen and carbon dioxide. Due to importance lung function, indications disorders must be detected diagnosed early. Research on classification conditions generally uses chest x-ray image data. Where time-consuming procedure is needed obtain In this research, an embedded diagnose was designed. made easy use independently provides real-time examination results. This parameters body temperature, saturation, fingernail color volume classifying conditions. There three can classified by system, healthy lungs, pneumonia tuberculosis. k-nearest neighbor method used process designed system. dataset 51 data obtained from hospital. Each already has label form condition based doctor’s diagnosis. proposed accuracy 88.24%