Performance analysis of supervised classification models on heart disease prediction

EA Ogundepo, WB Yahya - Innovations in Systems and Software …, 2023 - Springer
This paper presents a predictive analysis of data on heart disease patients to determine the
possible risk factors associated with their heart disease status. Two independent (but …

Modelling the trend and determinants of breastfeeding initiation in Nigeria

WB Yahya, SB Adebayo - Child Development Research, 2013 - Wiley Online Library
This paper examined the general trend of timing of breastfeeding initiation among nursing
mothers in Nigeria. The time of initiating the first breast milk to an infant by his/her mother is …

An efficient feature selection and classification system for microarray cancer data using genetic algorithm and deep belief networks

MO Lawrence, RG Jimoh, WB Yahya - Multimedia Tools and Applications, 2024 - Springer
Cancer is one of the most devastating health conditions in the world. In the diagnosis and
treatment of the various forms of cancer illness, studies have shown that early detection of …

[PDF][PDF] Efficient support vector machine classification of diffuse large b-cell lymphoma and follicular lymphoma mRNA tissue samples

AW Banjoko, WB Yahya, MK Garba… - Annals. Computer …, 2015 - researchgate.net
In this study, an efficient Support Vector Machine (SVM) algorithm that incorporates feature
selection procedure for efficient identification and selection of gene biomarkers that are …

[PDF][PDF] Microarray-based Classification of Histopathologic Responses of Locally Advanced Rectal Carcinomas to Neoadjuvant Radiochemotherapy Treatment.

WB Yahya, R Rosenberg, K Ulm - Turkiye Klinikleri Journal of …, 2014 - academia.edu
Objective: This paper aims to present preoperative prediction of responses of locally
advanced rectal cancer (LARC) patients to neoadjuvant radiochemotherapy (NRC) …

[PDF][PDF] Data Mining of Nigerian's Sentiments on the Administration of Federal Government of Nigeria

LB Amusa, WB Yahya… - Annals. Computer …, 2016 - anale-informatica.tibiscus.ro
The opinions and sentiments expressed by citizens of a country on the policies of the
government of such country are very vital to the overall running of the affairs of such a …

Effectiveness of Contraceptive Usage among Reproductive Ages in Nigeria Using Artificial Neural Network (ANN).

KA Dauda, AN Babatunde… - Computing & …, 2018 - search.ebscohost.com
Purpose: Contraceptive usage among women of reproductive age is a fertile area of
research for the medical scientists, social scientists, and medical practitioners. However, not …

Multiclass response feature selection and cancer tumour classification with support vector machine

AW Banjoko, WB Yahya, MK Garba - Journal of Biostatistics and …, 2019 - jbe.tums.ac.ir
Background & Aim: In this study, efficient Support Vector Machine (SVM) algorithm for
feature selection and classification of multi-category tumour classes of biological samples …

SqueezeNet Deep Learning Model for Magnetic Resonance Imaging Brain Tumor Detection

MO Lawrence - Faculty of Natural and Applied Sciences Journal of …, 2024 - fnasjournals.com
The growth of cells in an abnormal and uncontrolled manner leads to tumors. Tumors can be
either benign or cancerous. The tenth highest trigger of mortality for both women and men is …

[PDF][PDF] Multiclass Feature Selection and Classification with Support Vector Machine in Genomic Study

AW Banjoko, WB Yahya, MK Garba, OR Olaniran… - group, 2017 - academia.edu
Machine (SVM) algorithm for feature selection and classification of multiclass response
group in high dimensional (microarray) data. The Feature selection stage of the algorithm …