Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
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The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-AnalysisIdentifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning Machine.Malignant pleural mesothelioma and mesothelial hyperplasia: A new molecular tool for the differential diagnosis.Pleural effusion biomarkers and computed tomography findings in diagnosing malignant pleural mesothelioma: A retrospective study in a single center.Preface: BITS2014, the annual meeting of the Italian Society of Bioinformatics.Molecular markers and new diagnostic methods to differentiate malignant from benign mesothelial pleural proliferations: a literature review.
P2860
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
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2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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name
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
@ast
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
@en
type
label
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
@ast
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
@en
prefLabel
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
@ast
Differential diagnosis of pleural mesothelioma using Logic Learning Machine.
@en
P2093
P2860
P50
P1433
P1476
Differential diagnosis of pleural mesothelioma using Logic Learning Machine
@en
P2093
Enrico Ferrari
Erika Montani
Giovanni Paolo Ivaldi
Marco Muselli
Paola Marroni
Roberta Libener
Rosa Filiberti
P2860
P2888
P356
10.1186/1471-2105-16-S9-S3
P478
16 Suppl 9
P577
2015-06-01T00:00:00Z