Jan 01, 2020
DOI:
Published in: International Journal on “Technical and Physical Problems of Engineering” (IJTPE)
Publisher: International Journal on “Technical and Physical Problems of Engineering” (IJTPE)
The demand for online service applications related to our daily life increases greatly, especially those related to the field of healthcare services, and the importance of these applications during epidemic times rises significantly. This research deals with one of the inquiries correlated to making appointments in hospitals and health centers, as well as providing initial advice to the patient regarding the appropriate doctor, and the primary diagnosis of the disease using artificial intelligence techniques. All this by developing a software system and mobile application, therefore the users (the patients or who is responsible for them) can obtain these services as quickly as possible and in high quality and without even friction with anyone else. This leads to an increase in the effectiveness of these applications in times of epidemics and disease outbreaks. The proposed software system consists of two main components: The first one is responsible for searching for the right doctors and making an appointment with them, the right doctors are in the highest evaluation, with their best reputation and performance in their fields of competence. The second part is an expert system equipped with an inference engine that can, through a set of questions, provide diagnostic suggestions according to the patient’s case, which will result in booking an appointment through the first part after the patient confirms the appropriate choice
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