Title
Differential diagnosis of pleural mesothelioma using Logic Learning Machine
Abstract
Tumour markers are standard tools for the differential diagnosis of cancer. However, the occurrence of nonspecific symptoms and different malignancies involving the same cancer site may lead to a high proportion of misclassifications.
Year
DOI
Venue
2015
10.1186/1471-2105-16-S9-S3
BMC Bioinformatics
Keywords
Field
DocType
Decision Tree, Artificial Neural Network, Malignant Pleural Mesothelioma, Classification Rule, Cytological Examination
Decision tree,Classification rule,Computer science,Logic learning machine,Mesothelioma,Artificial intelligence,Bioinformatics,Artificial neural network,Classifier (linguistics),Machine learning,Differential diagnosis
Journal
Volume
Issue
ISSN
16
S-9
1471-2105
Citations 
PageRank 
References 
2
0.37
5
Authors
10