|
Volumn 169, Issue 3, 2003, Pages 917-920
|
Neural network using combined urine nuclear matrix protein-22, monocyte chemoattractant protein-1 and urinary intercellular adhesion molecule-1 to detect bladder cancer
a a a |
Author keywords
Algorithms; Biological; Bladder; Bladder neoplasms; Cystoscopy; Tumor markers
|
Indexed keywords
INTERCELLULAR ADHESION MOLECULE 1;
MONOCYTE CHEMOTACTIC PROTEIN 1;
NUCLEAR MATRIX PROTEIN 22;
TUMOR MARKER;
UNCLASSIFIED DRUG;
ADOLESCENT;
ADULT;
AGED;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BLADDER BIOPSY;
BLADDER CANCER;
BLADDER TUMOR;
CANCER INVASION;
CANCER SCREENING;
CLINICAL TRIAL;
CONTROLLED CLINICAL TRIAL;
CONTROLLED STUDY;
COST BENEFIT ANALYSIS;
CYSTOSCOPY;
CYTOLOGY;
DIAGNOSTIC ACCURACY;
DOUBLE BLIND PROCEDURE;
ENZYME LINKED IMMUNOSORBENT ASSAY;
HEMATURIA;
HUMAN;
MAJOR CLINICAL STUDY;
OUTPATIENT;
PRIORITY JOURNAL;
RANDOMIZED CONTROLLED TRIAL;
SENSITIVITY AND SPECIFICITY;
|
EID: 0037364235
PISSN: 00225347
EISSN: None
Source Type: Journal
DOI: 10.1097/01.ju.0000051322.60266.06 Document Type: Article |
Times cited : (40)
|
References (9)
|