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The Design and Implementation Of A Machine Learning Based Breast Cancer Diagnostic System

Domaine:

healthcare

Type de record:

softwarepaper
Créateur:
FacJos
Éditeur:
Cre
Hôte:
The adoption of information technology in the Ghanian health sector remains for the most part limited to the Greater Accra region. The technologies adopted are mainly used for communication, telemedicine, record keeping and database systems. Advanced analytical technologies like machine learning and artificial intelligence can greatly improve the Ghanian health. But despite their great potential, they are still unpopular. The current project is on the use of classification-based machine learning technology for breast cancer disease diagnosis. This project is designed and implemented as an online based platform to be used mainly by laboratories agents and researchers. This system was built to simplify the diagnostic process for the disease and increase its accuracy level. Keywords: Machine Learning, K-Nearest Neighbor and eHealth, Breast Cancer, Diagnostics

Visit

doi.org

Languages

Ga

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