Differential diagnosis of dengue and chikungunya in colombian children using machine learning

Dengue and chikungunya are vector borne diseases endemic in tropical countries around the world, with very similar clinical presentation, which makes it hard for physicians to tell them apart. Here we propose the use of Machine Learning based classifiers to perform differential diagnosis of dengue a...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8921
Acceso en línea:
https://hdl.handle.net/20.500.12585/8921
Palabra clave:
CART
Chikungunya
Decision tree
Dengue
Logistic regression
Support vector machine
Artificial intelligence
Decision trees
Learning algorithms
Pediatrics
Regression analysis
Statistical tests
Support vector machines
CART
Chikungunya
Decision tree classifiers
Dengue
Logistic Regression modeling
Logistic regressions
Receiver operating characteristics
Stratified random sampling
Diagnosis
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/