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Volumn 436, Issue 2, 2001, Pages 281-291
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Classification of cancer patients based on elemental contents of serums using bidirectional associative memory networks
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Author keywords
Artificial neural network; Bidirectional associative memory; Cancer; Classification; Serum; Trace element
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Indexed keywords
CALCIUM;
CHROMIUM;
COPPER;
ELEMENT;
IRON;
MAGNESIUM;
PHOSPHORUS;
STRONTIUM;
ZINC;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
ASSOCIATIVE MEMORY;
ATOMIC EMISSION SPECTROMETRY;
BLOOD SAMPLING;
CANCER DIAGNOSIS;
CANCER PATIENT;
CHINA;
CLINICAL TRIAL;
CONTROLLED CLINICAL TRIAL;
CONTROLLED STUDY;
HUMAN;
LIVER CARCINOMA;
LUNG CARCINOMA;
MAJOR CLINICAL STUDY;
PRIORITY JOURNAL;
SERUM;
STOMACH CARCINOMA;
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EID: 0035849653
PISSN: 00032670
EISSN: None
Source Type: Journal
DOI: 10.1016/S0003-2670(01)00923-0 Document Type: Article |
Times cited : (21)
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References (31)
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