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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stefano Parodi | 1 | 42 | 2.68 |
Rosa Filiberti | 2 | 2 | 0.37 |
Paola Marroni | 3 | 2 | 0.37 |
Roberta Libener | 4 | 2 | 0.37 |
Giovanni Ivaldi | 5 | 2 | 0.37 |
Michele Mussap | 6 | 2 | 0.37 |
Enrico Ferrari | 7 | 16 | 3.55 |
Chiara Manneschi | 8 | 2 | 1.04 |
Erika Montani | 9 | 2 | 0.37 |
Marco Muselli | 10 | 220 | 24.97 |