| 000 -LEADER |
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| fixed length control field |
01035nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210806b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--AUTHOR |
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| Author |
OJOMO ABIOLA OLUWAJUBE |
| 245 ## - TITLE STATEMENT |
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| Title |
DEVELOPMENT OF A FUZZY LOGIC BASED PREDICTIVE MODEL FOR THE RISK OF LASSA FEVER |
| 250 ## - SUPERVISOR |
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| Supervisor |
Professor P. A. IDOWU |
| 260 ## - IMPRINT |
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| Place of publication |
Ibafo |
| Department (College) |
COMPUTER SCIENCE AND MATHEMATICS |
| Date of publication |
2020 |
| 300 ## - COLLATION |
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| Pagination |
ix; 50 |
| Other physical details |
dia, tables |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
A fuzzy logic-based system has been applied to a number of medical cases, particularly in the area of diagnostic system development, and has been discovered to produce precise results. This paper introduces a fuzzy logic-based method used to simulate a prediction model for the prediction of Lassa fever among individuals. The results of variable fuzzification and defuzzification, inference engine description and model testing were presented and showed that the model based on fuzzy logic would be very useful in predicting the probability of Lassa fever among individuals. |
| 650 ## - TRACINGS |
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| Main Subject |
Computer Science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Students Thesis |
