SHANU RILWAN OLANIYI

Meet SHANU RILWAN OLANIYI, an Academic Staff of Lagos State University.

Specialization

Software Engineering, Health Informatics, Machine Learning, Soft Computing, Expert System

Designation

Assistant Lecturer

Department

Computer Science

Office

At the Computer Science department office

Visiting Hour

Appointment on Visitation important

Research Interest

Topic: Expert System Using Fuzzy Logic FCM

Description: My research interest and focus is on Intuitionistic fuzzy similarity measure which gives Boolean value 0-1 but considers both membership and non-membership functions. This has been used to resolve classification problems but with shortcomings. The interest in this area is to research into resolving some of these lapses. Also, my interest on Neural Network, Data Science and Analysis; including application of statistical, mathematical modeling and machine learning analyses for solving real life complex problems.

Qualifications

# Certificate SchoolYear
1. M.Sc (Computer Science) Computer Science, Lagos State University, Ojo Lagos. 2018

Current Research

A Critical Review of Emerging Computational Models for Diagnosing Meningitis Diseases in Nigeria

Research Details

The paper is a review on various computational models used for diagnosing meningitis. Several researches are on going in developing various conventional clinical and computational diagnostic models of Medicine, Biology and Artificial Intelligence, which have been applied in diagnosis, treatment and accurate prediction. Though, several computational models have been developed with success stories globally on meningitis but the focus of this paper is to critically examine the emerging models from Africa and Nigeria environment particularly. The objective of this paper is to provide all-inclusive review of these computational models with emphasis on features, challenges and shortcomings and also, country of domiciliation. Methods: We carried out a review using the systemic literature review SLR to guide our search in various databases and repositories related to this study. We completed our search by carrying out a review of elimination of non-relevant literatures.Result: Our results revealed that performance of emerging models still lack in early diagnosis, accuracy and speed are still major concern. Conclusion: Within Africa and Nigeria context, the result revealed that computational models are yet to be well explored compared to other parts of the world.

Biography

SHANU RILWAN is a Assistant Lecturer at the Department of Computer Science

SHANU has a M.Sc in Computer Science from Computer Science, Lagos State University, Ojo Lagos.

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