Expert System for the Diagnosis and Prognosis of Common Dental Diseases Using Bayes Network

作     者：Grace Tam-Nurseman Philip Achimugu Oluwatolani Achimugu Hilary Kelechi Anabi Sseggujja Husssein Grace Tam-Nurseman;Philip Achimugu;Oluwatolani Achimugu;Hilary Kelechi Anabi;Sseggujja Husssein

作者机构：Department of Computer Science Lead City University Ibadan Nigeria Department of Computer Science Air Force Institute of Technology Kaduna Nigeria Department of Information and Communication Engineering Air Force Institute of Technology Kaduna Nigeria Department of Computer Science Islamic University in Uganda Mbale Uganda 

出 版 物：《Journal of Biomedical Science and Engineering》 (生物医学工程（英文）)

年 卷 期：2021年第14卷第11期

页      面：361-370页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Expert System Dental Diagnosis Dental Diseases and Human Expert 

摘      要：Expert systems are being utilized increasingly in medical fields for the purposes of assisting diagnosis and treatment planning. Existing systems used few symptoms for dental diagnosis. In Dentistry, few symptoms are not enough for diagnosis. In this research, a conditional probability model (Bayes rule) was developed with increased number of symptoms associated with a disease for diagnosis. A test set of recurrent cases was then used to test the diagnostic capacity of the system. The generated diagnosis matched that of the human experts. The system was also tested for its capacity to handle uncommon dental diseases and the system portrayed useful potential.