Implementation of interactive healthcare advisor model using chatbot and visualization
Tae-Ho Hwang, Juhui Lee, Se-Min Hyun, Kang Yoon Lee
Abstract
In the era of the fourth industrial revolution, utilizing the influx of numerous information have significant influences on human lives. In particular, the use of artificial intelligence data in the medical field will have great potential to change and affect the society. Here we report the components necessary for implementing the interactive healthcare advisor model (IHAM) and chatbot-based IHAM. The biological information of target users used in the research, including body temperature, oxygen saturation (SpO2), pulse, electrocardiogram (ECG) and etc., was measured and analyzed with biological sensors based on oneM2M platform, as well as using interactive chatbot to analyze the everyday biophysical conditions. Moreover, the accumulated biological information in the chatbot and the biological sensors are delivered to the users through the chatbot and further provides medical advices to promote the user's general health. Through this implementation, we will confirm the applicability of the health care advisor model in the future and present future research directions.