TY - JOUR
T1 - Análisis comparativo de predicción dentro de bases de datos de cáncer
T2 - Una aplicación de aprendizaje automático
AU - Martínez-Toro, Gabriel Mauricio
AU - Rico-Bautista, Dewar
AU - Romero-Riaño, Efrén
N1 - Publisher Copyright:
© 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Cancer is not only a disease, it is a set of diseases with a great impact on public health. In that sense, efforts to consolidate methods of analysis based on large data that contribute to its prediction, is an area of special interest for scientists and data analysts. The objective of this paper is to compare the performance of method prediction: i) Logistic regression, ii) K Nearest Neighbor, iii) K-means, iv) Random Forest, v) Support Vector Machine, vi) Linear Discriminant Analysis, vii) Gaussian Naive Bayes viii) Multilayer Perceptron, within a cancer database. In the case of unsupervised learning models, the relevance of the centroids for the k means algorithm is evident, as well as the learning rate assignments and parameters for the Multilayer Perceptron case. In the case of supervised learning models, SVM performs best.
AB - Cancer is not only a disease, it is a set of diseases with a great impact on public health. In that sense, efforts to consolidate methods of analysis based on large data that contribute to its prediction, is an area of special interest for scientists and data analysts. The objective of this paper is to compare the performance of method prediction: i) Logistic regression, ii) K Nearest Neighbor, iii) K-means, iv) Random Forest, v) Support Vector Machine, vi) Linear Discriminant Analysis, vii) Gaussian Naive Bayes viii) Multilayer Perceptron, within a cancer database. In the case of unsupervised learning models, the relevance of the centroids for the k means algorithm is evident, as well as the learning rate assignments and parameters for the Multilayer Perceptron case. In the case of supervised learning models, SVM performs best.
KW - Big data
KW - Cancer prediction
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85061196326&partnerID=8YFLogxK
M3 - Artículo Científico
AN - SCOPUS:85061196326
SN - 1646-9895
SP - 113
EP - 122
JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
IS - E17
ER -