An expert system for the diagnosis of sexually transmitted diseases ESSTD

Temitope Thompson, Olaperi Sowunmi, Sanjay Misra, Luis Fernandez-Sanz, Broderick Crawford, Ricardo Soto

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish
Pages (from-to)2007-2017
Number of pages11
JournalJournal of Intelligent and Fuzzy Systems
Issue number4
StatePublished - 2017


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