AIMC Topic: Nigeria
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Prediction modeling of potentially toxic elements' hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria.
Environmental science and pollution research international
Mar 27, 2021
Machine learning techniques have proven to be very useful in environmental and engineering assessments, including water quality studies. This is because they have flexible linear and nonlinear forecasting functions that can efficiently and reliably e...
Hepatitis C viral load and genotypes among Nigerian subjects with chronic infection and implication for patient management: a retrospective review of data.
The Pan African medical journal
Dec 10, 2020
INTRODUCTION: Hepatitis C Virus (HCV) is highly infectious with no currently available vaccine. Prior to treatment, it is recommended to confirm HCV infection with either quantitative or qualitative nucleic acid test. Access to these assays in Nigeri...
Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models.
BMC medical research methodology
Dec 3, 2020
BACKGROUND: Accurate forecasting model for under-five mortality rate (U5MR) is essential for policy actions and planning. While studies have used traditional time series modeling techniques (e.g., autoregressive integrated moving average (ARIMA) and ...
The influence of maternal agency on severe child undernutrition in conflict-ridden Nigeria: Modeling heterogeneous treatment effects with machine learning.
PloS one
Jan 9, 2019
Nigeria is one of the fastest growing African economies, yet struggles with armed conflict, poverty, and morbidity. An area of high concern is how this situation affects vulnerable families and their children. A key pathway in improving the situation...
Anthropogenic activities impact on atmospheric environmental quality in a gas-flaring community: application of fuzzy logic modelling concept.
Environmental science and pollution research international
May 24, 2018
We present a modelling concept for evaluating the impacts of anthropogenic activities suspected to be from gas flaring on the quality of the atmosphere using domestic roof-harvested rainwater (DRHRW) as indicator. We analysed seven metals (Cu, Cd, Pb...
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.
International journal of health geographics
May 9, 2018
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative s...
Serum Troponin I levels among hypertensive Military Service Personnel at a Military Health Facility in Abuja, Nigeria.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 30, 2017
Hypertension constitutes one of the major metabolic disease in Nigeria especially among military personnel and their families. Myocardial infarction and other cardiovascular diseases may occur in this group of patient due to uncontrolled or poorly co...
ISOLATION AND CHARACTERIZATION OF CHEMICAL CONSTITUENTS FROM G. DON-HOLL. STEM-BARK EXTRACTS AND THEIR ANTIOXIDANT AND ANTIBACTERIAL PROPERTIES.
African journal of traditional, complementary, and alternative medicines : AJTCAM
Aug 12, 2016
BACKGROUND: The plant, is indigenous to Nigeria and its stem-bark has wide application in traditional medicine for the treatment of infections and oxidative stress related diseases. The aim of the study was to isolate the chemical constituents respo...
Application of backpropagation artificial neural network prediction model for the PAH bioremediation of polluted soil.
Chemosphere
Jul 15, 2016
The backpropagation (BP) artificial neural network (ANN) is a renowned and extensively functional mathematical tool used for time-series predictions and approximations; which also define results for non-linear functions. ANNs are vital tools in the p...
Cholera Outbreak in Nigeria: History, Review of Socioeconomic and Meteorological Drivers, Diagnostic Challenges, and Artificial Intelligence Integration.
Global health, epidemiology and genomics
Jan 1, 2025
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic disparities, poor sanitation, and environmental factors such as recurrent flooding. This narrative review examines cholera outbreaks in Nigeria, explo...
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