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.

Development of predictive model for the survival of HIV/AIDs pediatric patients using data mining techniques.

Domaine:

healthcare

Type de record:

paperposter

Development of predictive model for the survival of HIV/AIDs pediatric patients using data mining techniques.

Poster presented at the Deep Learning Indaba 2022 by Olutola Agbelusi

Tags

deep learning indabaposterdlideep learning indaba 2022

Similaires

Data mining algorithm for development of a predictive model for mitigating loan risk in Nigerian banksA Model for Coronary Heart Disease Prediction Using Data Mining Classification TechniquesGarment sizing system development for Amhara policemen uniforms using data mining techniquesPredictive Approach for Unemployment Management Using Data-Driven TechniquesDerivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithmsPrediction of Tea Production in Rwanda Using Data Mining Techniques

Data mining algorithm for development of a predictive model for mitigating loan risk in Nigerian banks

The focus of this paper is on the development of data mining algorithm for developing of predictive

A Model for Coronary Heart Disease Prediction Using Data Mining Classification Techniques

International audience Nowadays the guts malady is one amongst the foremost causes of

Garment sizing system development for Amhara policemen uniforms using data mining techniques

Purpose Sizing system is a fundamental topic in garment fitting. The purpose of this study was to

Predictive Approach for Unemployment Management Using Data-Driven Techniques

This study presents the modelling and implementation of an integrated system for unemployment predic

Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms

Abstract Background Despite the adverse health outcomes associated with longer duration diarrhea (LD

Prediction of Tea Production in Rwanda Using Data Mining Techniques

Rwanda's main economic activity is agriculture, and tea is the country's most important cash crop. T