AIMC Topic: Nigeria
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Disparities in medical recommendations from AI-based chatbots across different countries/regions.
Scientific reports
Jul 24, 2024
This study explores disparities and opportunities in healthcare information provided by AI chatbots. We focused on recommendations for adjuvant therapy in endometrial cancer, analyzing responses across four regions (Indonesia, Nigeria, Taiwan, USA) a...
High-resolution mapping of essential maternal and child health service coverage in Nigeria: a machine learning approach.
BMJ open
Jun 10, 2024
BACKGROUND: National-level coverage estimates of maternal and child health (MCH) services mask district-level and community-level geographical inequities. The purpose of this study is to estimate grid-level coverage of essential MCH services in Niger...
Development of a web-based care networking system to support visiting healthcare professionals in the community.
BMC health services research
Dec 16, 2023
BACKGROUND: The role of visiting health services has been proven to be effective in promoting the health of older populations. Hence, developing a web system for nurses may help improve the quality of visiting health services for community-dwelling f...
Analysis of land use and land cover change using machine learning algorithm in Yola North Local Government Area of Adamawa State, Nigeria.
Environmental monitoring and assessment
Nov 14, 2023
The dynamic use of land that results from urbanization has an impact on the urban ecosystem. Yola North Local Government Area (Yola North LGA) of Adamawa state, Nigeria, has experienced tremendous changes in its land use and land cover (LULC) over th...
Specialist hybrid models with asymmetric training for malaria prevalence prediction.
Frontiers in public health
Sep 21, 2023
Malaria is a common and serious disease that primarily affects developing countries and its spread is influenced by a variety of environmental and human behavioral factors; therefore, accurate prevalence prediction has been identified as a critical c...
Research on the evaluation method of agricultural intelligent robot design solutions.
PloS one
Mar 23, 2023
BACKGROUND: At present, agricultural robots are produced in large quantities and used in agricultural planting, and the traditional agricultural model is gradually shifting to rely on the Internet of Things and sensors to accurately detect crop growt...
Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower Benue Trough, Nigeria.
Environmental science and pollution research international
Feb 1, 2023
Agricultural productivity can be impaired by poor irrigation water quality. Therefore, adequate vulnerability assessment and identification of the most influential water quality parameters for accurate prediction becomes crucial for enhanced water re...
Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach.
Environmental science and pollution research international
Jan 9, 2023
Poor irrigation water quality can mar agricultural productivity. Traditional assessment of irrigation water quality usually requires the computation of various conventional quality parameters, which is often time-consuming and associated with errors ...
Japan Ocular Imaging Registry: a national ophthalmology real-world database.
Japanese journal of ophthalmology
Sep 23, 2022
In 2017, the Japanese Ophthalmological Society (JOS) created the Japan Ocular Imaging (JOI) registry, a national database of images and clinical data in the field of ophthalmology in Japan. The JOI registry automatically transfers the information sto...
Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.
Scientific reports
Nov 1, 2021
In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), an autoregressive integrated moving average (ARIMA), with a nonlinear autoregressive artificial neural network (NARANN), cal...
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