Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Peter Adebayo Idowu"'
Autor:
Florence Alaba Oladeji, Jeremiah Ademola Balogun, Temilade Aderounmu, Theresa Olubukola Omodunbi, Peter Adebayo Idowu
Publikováno v:
Journal of Information Technology Research. 15:1-14
This study formulated a model for assessing the risk of coronavirus disease (COVID-19) based on variables associated with the spread of COVID-19 infections. The study used the Mamdani fuzzy logic model based on a multiple input and single output (MIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef7607cfc6e895f64099a01d7a55222f
https://doi.org/10.4018/jitr.299378
https://doi.org/10.4018/jitr.299378
Publikováno v:
International Journal of Healthcare Information Systems and Informatics. 16:1-32
This study presented a model to classify risk of hypertension using Adaptive Neuro-Fuzzy Inference System (ANFIS). In order to develop the model cardiologists from teaching hospitals in Nigeria were interviewed so as to identify required variables fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0939efc75dfd347b9f8ee6eb0e22c24f
https://doi.org/10.4018/ijhisi.295818
https://doi.org/10.4018/ijhisi.295818
This chapter was developed with a view to present a predictive model for the classification of the level of CD4 count of HIV patients receiving ART/HAART treatment in Nigeria. Following the review of literature, the pre-determining factors for determ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c08d5c27b3dcefe281d2519eef4df55a
https://doi.org/10.4018/978-1-6684-6291-1.ch015
https://doi.org/10.4018/978-1-6684-6291-1.ch015
Autor:
Adanze Onyenonachi Asinobi, F.A. Oladeji, Jeremiah Ademola Balogun, Olayinka Olufunmilayo Olusanya, Olajide Blessing Olajide, Peter Adebayo Idowu
Publikováno v:
International Journal of Big Data and Analytics in Healthcare. 5:38-57
This study developed a classification model for monitoring the risk of sexually transmitted diseases (STDs) among females using information about non-invasive risk factors. Structured interview with physicians was done in order to identify the risk f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1dd75e004ab8f2b9d6d104a0dcda10
https://doi.org/10.4018/ijbdah.2020070103
https://doi.org/10.4018/ijbdah.2020070103
Autor:
Jeremiah Ademola Balogun, Adanze O. Asinobi, Olawale Olaniyi, Samuel Ademola Adegoke, Florence Alaba Oladeji, Peter Adebayo Idowu
Anemia is a major cause of morbidity and mortality of SCD patients in many parts of the world with the burden much higher in Sub Saharan Africa. This study developed an ensemble of machine learning algorithm for the prediction of the risk of anemia i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e082d67078860f712a7473d0ca61d58b
https://doi.org/10.4018/978-1-6684-5360-5.ch002
https://doi.org/10.4018/978-1-6684-5360-5.ch002
Publikováno v:
International Journal of Information Engineering and Electronic Business. 11:11-23
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c2b6480706e235c620c9699b6fe707a
https://doi.org/10.5815/ijieeb.2019.04.02
https://doi.org/10.5815/ijieeb.2019.04.02
Autor:
Peter Adebayo Idowu, F.A. Oladeji, Olawale Olaniyi, Samuel Ademola Adegoke, Jeremiah Ademola Balogun, Adanze Onyenonachi Asinobi
Publikováno v:
International Journal of Computers in Clinical Practice. 4:33-59
Anemia is a major cause of morbidity and mortality of SCD patients in many parts of the world with the burden much higher in Sub Saharan Africa. This study developed an ensemble of machine learning algorithm for the prediction of the risk of anemia i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3bcd9c845d943e4a336d2cf84e227a
https://doi.org/10.4018/ijccp.2019070103
https://doi.org/10.4018/ijccp.2019070103
Publikováno v:
International Journal of E-Health and Medical Communications. 10:56-78
This article presents a predictive model that can be used for the early detection of Type 2 Diabetes Mellitus using fuzzy logic. In order to formulate the model, risk factors associated with the risk of T2DM were elicited. The predictive model was fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::928ba22a1677135e0ea677d1a71ea931
https://doi.org/10.4018/ijehmc.2019070104
https://doi.org/10.4018/ijehmc.2019070104
Autor:
I. O. Akinyemi, Bodunde Odunola Akinyemi, Peter Adebayo Idowu, Jeremiah Ademola Balogun, Funmilayo Kasali
Publikováno v:
Privacy and Security Challenges in Location Aware Computing
Currently in Nigeria, different crimes ranging from ethnic clashes, domestic violence, burglary, financial fraud, kidnapping, pipe-line vandalism, and random killings by terrorist organizations, to mention a few, continue to plague the country. The c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5efd7d7b7a0d0ab8437d50300a402b25
https://doi.org/10.4018/978-1-7998-7756-1.ch008
https://doi.org/10.4018/978-1-7998-7756-1.ch008
Autor:
Emile R. Chimusa, Peter Adebayo Idowu, Adebayo Felix Adekoya, Olatunji Mumini Omisore, Oluwafemi A. Sarumi, Bolanle Adefowoke Ojokoh, Ashraf Darwish, Ferdinand A. Katsriku, Oluwarotimi Williams Samuel
Publikováno v:
Scientific African, Vol 9, Iss, Pp e00551-(2020)
Big data technologies, Analytics and Artificial Intelligence are great tools with capabilities to accomplish complex tasks at levels beyond human skills. The trio are becoming more and more prominent these days as they can be utilized to collect, org
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72293b6b3b0b265326f015be7c78126e
http://www.sciencedirect.com/science/article/pii/S2468227620302891
http://www.sciencedirect.com/science/article/pii/S2468227620302891