Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jeremiah A. Balogun"'
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
Publikováno v:
Journal of Computer Science and Its Application; Vol. 28 No. 2 (2021); 45-53
No Abstract.
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
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
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
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:
Ngozi Chidozie Egejuru, Jeremiah Ademola Balogun, Helen Olubunmi Jaiyeola Akinade, Peter Adebayo Idowu
Publikováno v:
International Journal of Computers in Clinical Practice. 2:1-19
In this article, an IT infusion model was developed for the Nigerian health sector using teaching hospitals in Nigeria. The different IT technologies used by medical practitioners were identified. Structured questionnaires were used to elicit knowled
According to WHO, there are 60 - 80 million infertile couples worldwide with the highest incidence in some regions of Sub-Saharan Africa. The social stigma of infertility weighs especially heavily on women, who bear the sole blame for barren marriage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87babcb92e5037ba0aba40b5bbc666de
https://doi.org/10.4018/978-1-7998-2460-2.ch051
https://doi.org/10.4018/978-1-7998-2460-2.ch051
Autor:
Peter Adebayo Idowu, Franklin Oladiipo Asahiah, Jeremiah Ademola Balogun, Olayinka Olufunmilayo Olusanya
This paper presents an online monitoring system for the storage and retrieval of physiological data from neonates admitted into the Neonatal intensive care units (NICU) of Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria. In order to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f1756b25629094f6c6b1d14bcdcc19f
https://doi.org/10.4018/978-1-7998-2451-0.ch008
https://doi.org/10.4018/978-1-7998-2451-0.ch008