Differential Diagnosis of Eye Diseases Based on Fuzzy Cognitive Map
Journal Title: IOSR Journal of Nursing and health Science - Year 2018, Vol 7, Issue 6
Abstract
The prevalence of eye diseases and its attendant effects which lead to blindness motivated an investigation into how diagnoses are undertaken. One startling revelation is the dearth of optical experts to cope with the increasing cases of eye diseases in clinics. This further prompted the design of a differential diagnosis tool for the purpose of aiding opticians in their assignment of diagnosis of eye diseases. Conflicting symptoms cause a lot of confusion to medical experts especially the inexperienced ones. In an attempt to carry out this task, two opticians were consulted independent of one another to assist in weighting 17 symptoms of 6 confusable eye diseases. The symptoms were weighted with respect to their causal relationship to one another and the 6 diseases. In addition to this, the opticians assisted in giving diagnostic results of 20 hypothetical cases independent of one another. Armed with this information and datasets, a Fuzzy Cognitive Map (FCM) was designed for the 17 symptoms and 6 diseases. From the FCM, an adjacency matrix was constructed. To obtain optimal weights through the links of the maps, a training session was undertaken using Hebbian learning rule. With all these, the 20 hypothetical cases were subjected to train the map. Results obtained from the exercise were compared with that obtained from the two opticians. A correlation of 0.65 was observed with the results of the first optician while a correlation of 0.45 was seen from that of the second optician. A novel feature of the differential diagnosis using the FCM methodology is the ability to give varying degrees of diagnosis of the main ailment and in addition that of an associated ailment. In doing so, the optician who is the ultimate user of the system could choose which of them to treat first maybe considering the severity of the ailment and how life threatening is one to another.
Authors and Affiliations
Okure Udo Obot, Iberedem Ibibio Udo, Samuel Sunday Udoh
Keywords
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- EP ID EP437189
- DOI 10.9790/1959-0706084252.
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