Artificial neural networks combined with surface-enhanced laser desorption/ionization mass spectra distinguish endometriosis from healthy population

Fertility and Sterility

Volumn 88, Issue 6, 2007, Pages 1700-1702

  Wang, Liang ^a   Zheng, Wei ^a   Yu, Jie kai ^a   Jiang, Wen zhi ^a   Mu, Lin ^a   Zhang, Su zhan ^a  

^a ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; BLOOD SAMPLING; CELL CULTURE; CLINICAL ARTICLE; CLINICAL EXAMINATION; CONTROL GROUP; CONTROLLED STUDY; ENDOMETRIOSIS; FEMALE; HUMAN; LABORATORY TEST; MORBIDITY; POPULATION; PRIORITY JOURNAL; REPRODUCTIVE HEALTH; SCREENING TEST; SENSITIVITY AND SPECIFICITY; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY;

ADULT; BIOLOGICAL MARKERS; CA-125 ANTIGEN; ENDOMETRIOSIS; FEMALE; HEALTH; HUMANS; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROTEIN ARRAY ANALYSIS; SENSITIVITY AND SPECIFICITY; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION; UTERINE DISEASES;

EID: 36749057959     PISSN: 00150282     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fertnstert.2007.01.055     Document Type: Article

References (8)

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