Occupational Disease Risk Assessment System Using Artificial Intelligence System and Chatbot

This research aimed to study and develop a chatbot to assess the risk from occupational diseases among informal workers and to provide knowledge on disease prevention. There is a problem of accessing health services among informal workers or independent professional groups who do not have health benefit, lack professional healthcare, and lack knowledge about risk factors arising from their work. In addition, visiting a doctor in person takes time and informal workers may lose benefit from the work they do when doing so. Therefore, the researcher applied artificial intelligence to seek answers according to word groups based on word weight that classified symptoms, disease risk, and disease prevention guidelines for each occupation from diagnostic manuals. The system was developed to be compatible with the LINE application that is easily accessible. The evaluation of the system accuracy by experts had a total value of 86%. The evaluation of the overall system quality in 3 aspects had an average value of 4.24. It can be concluded that the developed system can be used in actual practice.