Evaluation of Dengue Model Performances Developed Using Artificial Neural Network and Random Forest Classifiers-Reference-Cited by-同舟云学术

Evaluation of Dengue Model Performances Developed Using Artificial Neural Network and Random Forest Classifiers

Published:2021 Issue: Volume:179 Page:135-143
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Silitonga Permatasari,Dewi Beti E.,Bustamam Alhadi,Al-Ash Herley Shaori

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Modeling dengue data from Semarang, Indonesia;Götz;Ecological Complexity,2017

2. Concurrent infections of dengue viruses serotype 2 and 3 in patient with severe dengue from Jakarta, Indonesia;Lardo;Asian Pacific Journal of Tropical Medicine.,2016

3. Scoring Model to Predict Dengue Infection in the Early Phase of Illness in Primary Health Care Centre;Cucunawangsih;ARCHIVES OF CLINICAL MICROBIOLOGY.,2015

4. Modified Regression Approach for Predicting Number of Dengue Fever Incidents in Malang Indonesia;Anggraeni;Procedia Computer Science,2017

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