AIMC Topic: Ghana

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Moving beyond the noise: geospatial modelling of urban sound environments in a sub-Saharan African city.

Scientific reports Jul 1, 2025
Cities encompass a mixture of artificial, human, animal, and nature-based sounds, which through long and short-term exposures, can impact on physical and mental health. Yet, most epidemiological research has focused on only transportation noise, leav...
Humans Sound Africa South of the Sahara Ghana Noise, Transportation Cities Models, Theoretical Noise
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Principles for enhancing trust in artificial intelligence systems among medical imaging professionals in Ghana: A nationwide cross-sectional study.

Radiography (London, England : 1995) Apr 13, 2025
INTRODUCTION: To realise the full potential of artificial intelligence (AI) systems in medical imaging, it is crucial to address challenges, such as cyberterrorism to foster trust and acceptance. This study aimed to determine the principles that enha...
Diagnostic Imaging Humans Computer Security Trust Artificial Intelligence Ghana Middle Aged Cross-Sectional Studies Female Surveys and Questionnaires Male Adult
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Nutritional predictors of lymphatic filariasis progression: Insights from a machine learning approach.

PloS one Mar 26, 2025
Lymphatic filariasis (LF) is a mosquito-borne neglected tropical disease that causes disfiguring of the affected extremities, often leading to permanent disability and stigma. Described as a disease of poverty, the impact of socioeconomic indicators ...
Ghana Elephantiasis, Filarial Disease Progression Malnutrition Nutritional Status Machine Learning Female Aged Male Middle Aged Adult Cross-Sectional Studies Humans
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Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?

BMC endocrine disorders Jan 10, 2025
BACKGROUND: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - income countries call for preventive public health interventions. Studies from Africa including those from Ghana, consistently reveal high T2DM-related mor...
Humans Female Risk Factors Aged Adult Machine Learning Prognosis Retrospective Studies Ghana Diabetes Mellitus, Type 2 Follow-Up Studies Tertiary Care Centers Survival Rate Male Middle Aged
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A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana.

PLoS neglected tropical diseases Dec 13, 2024
BACKGROUND: Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000-138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths an...
Ghana Young Adult Snake Bites Adult Male Humans Child Bayes Theorem Middle Aged Female Models, Statistical Supervised Machine Learning Adolescent Antivenins
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Assessing the impact of climate variability on maize yields in the different regions of Ghana-A machine learning perspective.

PloS one Jun 25, 2024
Climate variability has become one of the most pressing issues of our time, affecting various aspects of the environment, including the agriculture sector. This study examines the impact of climate variability on Ghana's maize yield for all agro-ecol...
Climate Ghana Machine Learning Temperature Climate Change Zea mays Agriculture Crops, Agricultural Carbon Dioxide Support Vector Machine
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Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective.

International journal of medical informatics Jun 19, 2024
BACKGROUND: Recent studies reveal that around 1.9 million stillbirths occur annually worldwide, with Sub-Saharan Africa having among the highest cases. Some Sub-Saharan African countries, including Ghana, failed to meet Millennium Development Goal 5 ...
Female Stillbirth Infant, Newborn Gestational Age Young Adult Ghana Logistic Models Neural Networks, Computer Adult Live Birth Parturition Machine Learning Humans Pregnancy Outcome Pregnancy
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Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning.

The Science of the total environment Jun 13, 2023
Cities in the developing world are expanding rapidly, and undergoing changes to their roads, buildings, vegetation, and other land use characteristics. Timely data are needed to ensure that urban change enhances health, wellbeing and sustainability. ...
Ghana Environment Deep Learning Cities
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Characterisation of urban environment and activity across space and time using street images and deep learning in Accra.

Scientific reports Nov 28, 2022
The urban environment influences human health, safety and wellbeing. Cities in Africa are growing faster than other regions but have limited data to guide urban planning and policies. Our aim was to use smart sensing and analytics to characterise the...
City Planning Humans Animals Deep Learning Cities Automobiles Ghana
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Use of a deep learning and random forest approach to track changes in the predictive nature of socioeconomic drivers of under-5 mortality rates in sub-Saharan Africa.

BMJ open Feb 17, 2022
OBJECTIVES: We used machine learning algorithms to track how the ranks of importance and the survival outcome of four socioeconomic determinants (place of residence, mother's level of education, wealth index and sex of the child) of under-5 mortality...
Ghana Child Humans Socioeconomic Factors Cross-Sectional Studies Child Mortality Deep Learning
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