|
Volumn 61, Issue 4, 2001, Pages 275-283
|
Application of classification tree and neural network algorithms to the identification of serological liver marker profiles for the diagnosis of hepatocellular carcinoma
|
Author keywords
Classification tree; Hepatocellular carcinoma; Liver proteins; Neural network; Tumour markers
|
Indexed keywords
ALBUMIN;
ALPHA 1 ANTITRYPSIN;
ALPHA 2 MACROGLOBULIN;
ALPHA FETOPROTEIN;
LIVER PROTEIN;
THYROXINE BINDING PROTEIN;
TRANSFERRIN;
TUMOR MARKER;
ADULT;
AGED;
ALBUMIN BLOOD LEVEL;
ALGORITHM;
ANALYTICAL PARAMETERS;
ARTICLE;
CANCER DIAGNOSIS;
CLINICAL TRIAL;
CONTROLLED CLINICAL TRIAL;
CONTROLLED STUDY;
DIAGNOSTIC ACCURACY;
DIAGNOSTIC VALUE;
DIFFERENTIAL DIAGNOSIS;
DISEASE MARKER;
FEMALE;
HUMAN;
INTERMETHOD COMPARISON;
LIVER CELL CARCINOMA;
LIVER CIRRHOSIS;
MAJOR CLINICAL STUDY;
MALE;
NERVE CELL NETWORK;
PRIORITY JOURNAL;
PROTEIN BLOOD LEVEL;
SERODIAGNOSIS;
TUMOR CLASSIFICATION;
TUMOR VOLUME;
ADULT;
AGED;
AGED, 80 AND OVER;
ALGORITHMS;
ALPHA 1-ANTITRYPSIN;
ALPHA-FETOPROTEINS;
ALPHA-MACROGLOBULINS;
BIOLOGICAL MARKERS;
CARCINOMA, HEPATOCELLULAR;
FEMALE;
HUMANS;
LIVER NEOPLASMS;
MALE;
MIDDLE AGED;
NERVE NET;
SENSITIVITY AND SPECIFICITY;
SERUM ALBUMIN;
TRANSFERRIN;
|
EID: 0035204677
PISSN: 00302414
EISSN: None
Source Type: Journal
DOI: 10.1159/000055334 Document Type: Article |
Times cited : (35)
|
References (38)
|