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On applying Supervised Classification techniques in medicine
Cita
Sierra Araujo, Basilio, Inza Cano, Iñaki and Larrañaga Múgica, Pedro María 
ORCID: https://orcid.org/0000-0003-0652-9872
(2001).
On applying Supervised Classification techniques in medicine.
En: "Second International Symposium on Medical Data Analysis (ISMDA 2001)", 8-9 Oct 2001, Madrid, España. ISBN 978-3-540-42734-6. pp. 14-19.
https://doi.org/10.1007/3-540-45497-7_2.
ORCID: https://orcid.org/0000-0003-0652-9872
(2001).
On applying Supervised Classification techniques in medicine.
En: "Second International Symposium on Medical Data Analysis (ISMDA 2001)", 8-9 Oct 2001, Madrid, España. ISBN 978-3-540-42734-6. pp. 14-19.
https://doi.org/10.1007/3-540-45497-7_2.
Descripción
| Título: | On applying Supervised Classification techniques in medicine |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Second International Symposium on Medical Data Analysis (ISMDA 2001) |
| Fechas del Evento: | 8-9 Oct 2001 |
| Lugar del Evento: | Madrid, España |
| Título del Libro: | Medical Data Analysis: Second International Symposium, ISMDA 2001, proceedings |
| Fecha: | 2001 |
| ISBN: | 978-3-540-42734-6 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Supervised Classification, Model Search, Machine Learning, Decision Support System, Pattern Recognition |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
This paper presents an overview of the Supervised Classification Techniques that can be applied in medicine. Supervised Classification concerns to the Machine Learning area, and many paradigms have been used in order to develop Decision Support Systems that could help the physician in the diagnosis task. Different families of classifiers can be distinguished based on the model used to do the final classification: Classification Rules, Decision Trees, Instance Based Learning and Bayesian Classifiers are presented in this paper. These techniques have been extended to many research and application fields, and some examples in the medical world are presented for each paradigm.
Más información
| ID de Registro: | 74296 |
|---|---|
| Identificador DC: | https://oa.upm.es/74296/ |
| Identificador OAI: | oai:oa.upm.es:74296 |
| Identificador DOI: | 10.1007/3-540-45497-7_2 |
| URL Oficial: | https://link.springer.com/chapter/10.1007/3-540-45... |
| Depositado por: | Biblioteca Facultad de Informatica |
| Depositado el: | 05 Jun 2023 08:03 |
| Ultima Modificación: | 20 Mar 2024 18:38 |
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