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Neural network analysis of clinicopathological and molecular markers in bladder cancer
Khaver N. Qureshi
, Raouf N.G. Naguib
, Freddie C. Hamdy
,
David E. Neal
, J. Kilian Mellon
Research Collaboration Unit
Research output
:
Contribution to journal
›
Article
›
peer-review
56
Scopus citations
Overview
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Dive into the research topics of 'Neural network analysis of clinicopathological and molecular markers in bladder cancer'. Together they form a unique fingerprint.
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Nursing and Health Professions
Artificial Neural Network
100%
Bladder Cancer
100%
Cancer Recurrence
16%
Cancer Specific Survival
50%
High Risk Population
16%
McNemar Test
16%
Molecular Marker
100%
Recurrent Disease
16%
Tumor Recurrence
16%
Keyphrases
Artificial Neural Network Analysis
16%
Artificial Neural Network Prediction
16%
Molecular Characteristics
16%
Neural Data
16%
T1 Bladder Cancer
33%
T1 Tumor
16%
T1G3
50%
Biochemistry, Genetics and Molecular Biology
Artificial Neural Network
100%
Pharmacology, Toxicology and Pharmaceutical Science
Cancer Specific Survival
50%
Medicine and Dentistry
McNemar Test
16%