[Application of KNN method to cancer diagnosis using Fourier-transform infrared spectroscopy].
Early diagnosis and early medical treatments are the keys to save the patients' lives and improve their living quality. Fourier transform infrared (FTIR) spectroscopy can be used to distinguish malignant from normal tissues at the molecular level. In the present paper, programs were made with chemometrics method of pattern recognition to classify unknown tissue samples. Spectral data were pretreated by using smoothing, SNV and RHM method. Cross validation was used to test the discrimination effect of KNN method. A total of 63 gastric tissue samples were employed in this study, including 26 cases of normal tissue samples and 37 cases of cancerous tissue samples. The recognition results of the KNN method showed that the correctness of classification achieved 91.7%.
Li
Xiang
X
College of Instrument Science, Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics, China.
Li
Qing-bo
QB
Xu
Yi-zhuang
YZ
Zhang
Guang-jun
GJ
Wu
Jin-guang
JG
Yang
Li-min
LM
Ling
Xiao-feng
XF
Zhou
Xiao-si
XS
Wang
Jian-sheng
JS
D000465:Algorithms; D006801:Humans; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D013274:Stomach Neoplasms / Q000175:diagnosis*