Terahertz time-domain spectroscopy combined with support vector machines and partial least squares-discriminant analysis applied for the diagnosis of cervical carcinoma-Reference-Cited by-同舟云学术

Terahertz time-domain spectroscopy combined with support vector machines and partial least squares-discriminant analysis applied for the diagnosis of cervical carcinoma

Published:2015 Issue:6 Volume:7 Page:2333-2338
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Qi Na¹²³⁴⁵,Zhang Zhuoyong⁵²³⁴,Xiang Yuhong⁵²³⁴,Yang Yuping⁶⁷⁸⁴,Liang Xueai⁹¹⁰⁴,Harrington Peter de B.¹¹¹²¹³¹⁴¹⁵

Affiliation:

1. College of Life Science

2. Capital Normal University

3. Beijing 100048

4. China

5. Department of Chemistry

6. School of Science

7. Minzu University of China

8. Beijing 100081

9. Haidian District Obstetrics and Gynecology Hospital

10. Beijing 106863

11. Center for Intelligent Chemical Instrumentation

12. Clippinger Laboratories

13. Department of Chemistry and Biochemistry

14. OHIO University

15. Athens

Abstract

Combined with terahertz spectroscopy, partial least squares-discriminant analysis and support vector machines could be novel and effective diagnosis methods for cervical cancer.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/AY/C4AY02665A

Reference42 articles.

1. Global cancer statistics

2. Cervical Cancer: Prevention, Diagnosis, and Therapeutics

3. Biomedical applications of terahertz technology

4. Terahertz Pulsed Imaging of Human Breast Tumors

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