Daily Health Monitoring Chatbot with Linear Regression

Abstract

Nowadays, elderly people harm their health from daily routines such as the habits of eating junk food, lack of time for exercising, and so on. When age increases, most of elderly people often have encountered with high blood pressure disease. This disease can lead to many dangerous diseases. Additionally, population of the doctors in hospital is not so high. The doctor usually takes a short note about symptoms for quick services that might not be enough for diagnosis. Therefore, we proposed daily health monitoring chatbot for the elderly people. We need to collect information from the elderly people to create personal health record (PHR). We develop conversational chatbot to interact with the elderly people via LINE application. Outcomes of this research support the doctor’s work because after reading daily PHR, the doctor diagnoses the diseases and gives advice for medical treatment more accurately. Furthermore, Linear regression technique was developed to monitor the blood pressure’s trend of elderly. Thus, they can prevent or relieve some diseases from chatbot warning and taking care the health.