Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Predicting Chronic Hepatitis B Disease Progression and Outcomes in The Gambia using Machine Learning Algorithms

Domaine:

healthcare

Type de record:

paperposter

Predicting Chronic Hepatitis B Disease Progression and Outcomes in The Gambia using Machine Learning Algorithms

Poster presented at the Deep Learning Indaba 2023 by Dorcas Asare

Visit

storage.googleapis.com

Tags

posterdeep learning indaba 2023deep learning indabadli

Similaires

Machine learning methodologies to predict chronic hepatitis B disease progression in AfricaMachine-learning methodologies to predict disease progression in chronic hepatitis B in AfricaStatistical and machine learning models for chronic hepatitis B disease progression and treatment eligibility: A scoping review protocolPREDICTING PROGRESSION OF DIABETIC KIDNEY DISEASE USING MACHINE LEARNINGPredicting Pregnancy Delivery Outcomes using Machine Learning AlgorithmsPredicting malaria outbreak in The Gambia using machine learning techniques

Machine learning methodologies to predict chronic hepatitis B disease progression in Africa

Machine-learning methodologies to predict disease progression in chronic hepatitis B in Africa

Background: Little is known about the determinants of disease progression among Africa

Statistical and machine learning models for chronic hepatitis B disease progression and treatment eligibility: A scoping review protocol

HBV affects 296 million people globally and is a leading cause of cirrhosis and liver cancer. Statis

PREDICTING PROGRESSION OF DIABETIC KIDNEY DISEASE USING MACHINE LEARNING

PREDICTING PROGRESSION OF DIABETIC KIDNEY DISEASE USING MACHINE LEARNING

Poster presented at the Deep Learning Indaba 2023 by Adetola  Adebanwo

Predicting Pregnancy Delivery Outcomes using Machine Learning Algorithms

The World Health Organization (WHO) has recognized the unpredictability of pregnancy delivery outcom

Predicting malaria outbreak in The Gambia using machine learning techniques

Malaria is the most common cause of death among the parasitic diseases. Malaria continues to pose a