An expert system for the diagnosis of sexually transmitted diseases - ESSTD

作者：Thompson Temitope; Sowunmi Olaperi; Misra Sanjay^*; Fernandez Sanz Luis; Crawford Broderick; Soto Ricardo

来源：Journal of Intelligent and Fuzzy Systems, 2017, 33(4): 2007-2017.

DOI：10.3233/JIFS-161242

• Artificial intelligence
• rule-based expert systems
• knowledge base
• decision trees
• sexually transmitted diseases

Over 93 million people get ill with sexually transmitted diseases in sub-Saharan Africa. However, research has shown that people with sexually transmitted diseases find it difficult to share their problem with a physician due to societal discrimination in Africa. Due to this problem, we have implemented a medical expert system for diagnosing sexually transmitted diseases (ESSTD) that maintains the anonymity of the individuals. The patients diagnose themselves by answering questions provided by the system. This paper presents the design and development of the system. Forward chaining rules were used to implement the knowledge base and the system is easily accessible on mobile platforms. The Java Expert System Shell was used for its inference engine and the system was validated by domain experts. It is useful because it helps to maintain anonymity for patients with STD.

• 出版日期2017