PREVENTION DE LA MALADIE
Filtres
Résultats
Mémoire sur la Détection d'une maladie occulaire.KEYCE.Cameroun.2023
At the heart of the current digital and medical evolution, the early detection of eye diseases holds crucial significance in preserving visual health. This study aligns with this perspective by proposing the design of an innovative application, built upon advances in artificial intelligence based on deep learning. Our objective is to merge medical expertise with AI capabilities to craft an advanced and efficient diagnostic tool.Through thorough research, we compiled a comprehensive database encompassing a variety of ocular images, representing a wide spectrum of eye conditions. Leveraging this dataset, we trained a deep learning model across various architectures, enabling the system…
Intra Action Review MPOX Outbreack South-West Region's Report.Cameroon.2025
The document presents the Best Practices and Challenges on Coordination, Risk Communication and Community Engagement, Surveillance including points of entry, Case management and logistics, Prevention of Community Infections.
Mémoire sur la Détection de l'hypertension Arterielle.KEYCE.Cameroun.2024
In the current context of digital and medical revolution, this study aims to integrate artificial intelligence (AI) to improve early detection and monitoring of hypertension (HTA) in Cameroon. Carried out at the Directorate of Disease Control, Epidemics and Pandemics (DLCMEP) of the Ministry of Public Health, the project aims to design an intelligent chatbot using the advances of deep learning and machine learning. The objective is to combine local medical expertise with the capabilities of AI to develop an advanced and effective diagnostic and monitoring tool.The results obtained during the testing and validation phases are promising, showing a significant improvement…