AIMC Topic: Ghana

Clear Filters Showing 11 to 15 of 15 articles

Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana.

PloS one Feb 16, 2021
Vehicle ownership modeling and prediction is a crucial task in the transportation planning processes which, traditionally, uses statistical models in the modeling process. However, with the advancement in computing power of computers and Artificial I...
Humans Machine Learning Logistic Models Models, Statistical Stochastic Processes Ghana Ownership
View on PubMed DOI

Radiographers' perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study.

Journal of medical radiation sciences Feb 14, 2021
INTRODUCTION: The integration of artificial intelligence (AI) systems into medical imaging is advancing the practice and patient care. It is thought to further revolutionise the entire field in the near future. This study explored Ghanaian radiograph...
Humans Artificial Intelligence Cross-Sectional Studies Allied Health Personnel Radiography Ghana
View on PubMed DOI

Intelligent judgements over health risks in a spatial agent-based model.

International journal of health geographics Mar 20, 2018
BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adap...
Humans Artificial Intelligence Machine Learning Algorithms Communicable Diseases Risk Factors Bayes Theorem Health Behavior Spatial Analysis Ghana Waste Disposal Facilities Cholera
View on PubMed DOI

Assessment of bacterial quality of honey produced in Tamale metropolis (Ghana).

Journal of food and drug analysis Nov 2, 2016
The bacterial quality of honey from different production sites within Tamale metropolis, Ghana, was estimated using standard microbiological methods. Honey samples were bought from six different production sites within Tamale metropolis and labeled. ...
Bacteria Honey Bacillus Shigella Ghana
View on PubMed DOI

Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BMC pregnancy and childbirth Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Humans Machine Learning Algorithms Retrospective Studies Pregnancy Female Cesarean Section Young Adult Adult Cross-Sectional Studies ROC Curve Decision Support Systems, Clinical Logistic Models Support Vector Machine Bayes Theorem Ghana Hospitals, District
View on PubMed DOI
Popular Topics
Recent Journals