Near infrared spectroscopy combined with least squares support vector machines and fuzzy rule-building expert system applied to diagnosis of endometrial carcinoma

Cancer Epidemiology

Volumn 36, Issue 3, 2012, Pages 317-323

  Yang, Fan ^a   Tian, Jing ^a   Xiang, Yuhong ^a   Zhang, Zhuoyong ^a   Harrington, Peter de B ^b  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b OHIO UNIVERSITY   (United States)

Author keywords

Cancer diagnosis; Endometrial carcinoma; Fuzzy rule building expert system; Least squares support vector machines; Near infrared spectroscopy

Indexed keywords

ADULT; AGED; ANALYTICAL EQUIPMENT; ARTICLE; CANCER DIAGNOSIS; CANCER TISSUE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ENDOMETRIUM CARCINOMA; FEMALE; FUZZY RULE BUILDING EXPERT SYSTEM; HUMAN; HUMAN TISSUE; LEAST SQUARE SUPPORT VECTOR MACHINE; MAJOR CLINICAL STUDY; NEAR INFRARED SPECTROSCOPY; NON INVASIVE PROCEDURE; PREDICTIVE VALUE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

ADULT; AGED; ENDOMETRIAL NEOPLASMS; FEMALE; FUZZY LOGIC; HUMANS; LEAST-SQUARES ANALYSIS; MIDDLE AGED; MODELS, THEORETICAL; SIGNAL-TO-NOISE RATIO; SPECTROSCOPY, NEAR-INFRARED; YOUNG ADULT;

EID: 84860653813     PISSN: 18777821     EISSN: 1877783X     Source Type: Journal    
DOI: 10.1016/j.canep.2011.10.009     Document Type: Article

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