Prediction of prostate cancer using hair trace element concentration and support vector machine method

Biological Trace Element Research

Volumn 116, Issue 3, 2007, Pages 257-271

  Guo, JingKang ^a   Deng, Wenhua ^a   Zhang, Liecheng ^a   Li, Chonghe ^a   Wu, Ping ^b   Mao, Peiling ^c  

^a SHANGHAI UNIVERSITY   (China)

^b INSTITUTE OF HIGH PERFORMANCE COMPUTING   (Singapore)

^c INSTITUTE OF BIOENGINEERING AND NANOTECHNOLOGY   (Singapore)

Author keywords

ICP MS, hair; Prostate cancer; Support vector machine; Trace element

Indexed keywords

CALCIUM; CHROMIUM; COPPER; IRON; MAGNESIUM; MANGANESE; PHOSPHORUS; POTASSIUM; SELENIUM; TRACE ELEMENT; ZINC;

ARTICLE; CANCER CLASSIFICATION; CANCER RISK; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; HAIR ANALYSIS; HUMAN; MAJOR CLINICAL STUDY; MALE; MASS SPECTROMETRY; MEASUREMENT; PREDICTION; PROSTATE CANCER; SAMPLING; SUPPORT VECTOR MACHINE;

DATA INTERPRETATION, STATISTICAL; DECISION SUPPORT TECHNIQUES; HAIR; HUMANS; MALE; MASS SPECTROMETRY; METALS; MODELS, STATISTICAL; PROSTATE; PROSTATIC NEOPLASMS; RISK; TRACE ELEMENTS;

EID: 34548847449     PISSN: 01634984     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02698010     Document Type: Article

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