Differential diagnosis of hemorrhagic fevers using ARTMAP
The differential diagnosis of endemic hemorrhagic fevers in tropical countries is by no means an easy task for medical practitioners. Several diseases often overlap with others in terms of signs and symptoms, thus making this diagnosis a difficult, error-prone process. Machine Learning algorithms po...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2012
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9102
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9102
- Palabra clave:
- ARTMAP
Dengue
Differential diagnosis
Hemorrhagic fever
Leptospirosis
Machine learning
Malaria
Neural networks
Artificial intelligence
Diseases
Learning algorithms
Learning systems
Neural networks
Patient monitoring
Pattern recognition
Statistical tests
ARTMAP
Dengue
Differential diagnosis
Hemorrhagic fever
Leptospirosis
Malaria
Diagnosis
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/