메뉴 건너뛰기




Volumn 6, Issue 3, 2012, Pages

Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls

Author keywords

[No Author keywords available]

Indexed keywords

VOLATILE ORGANIC COMPOUND;

EID: 84863815951     PISSN: 17527155     EISSN: 17527163     Source Type: Journal    
DOI: 10.1088/1752-7155/6/3/036003     Document Type: Article
Times cited : (74)

References (49)
  • 1
    • 0003661910 scopus 로고    scopus 로고
    • World Health Statistics. World Health Organisation 2008 http://www.who.int/respiratory/copd/World-Health-Statistics-2008/en/index.html
    • (2008) World Health Statistics
  • 5
    • 69149101475 scopus 로고    scopus 로고
    • Screening for and early detection of chronic obstructive pulmonary disease
    • Soriano J B, Zielinski J and Price D 2009 Screening for and early detection of chronic obstructive pulmonary disease Lancet 374 721-32
    • (2009) Lancet , vol.374 , pp. 721-732
    • Soriano, J.B.1    Zielinski, J.2    Price, D.3
  • 6
    • 0015131404 scopus 로고
    • Quantitative analysis of urine vapor and breath by gas - Liquid partition chromatography
    • Pauling L et al 1971 Quantitative analysis of urine vapor and breath by gas - liquid partition chromatography Proc. Natl Acad. Sci. USA 68 2374-6
    • (1971) Proc. Natl Acad. Sci. USA , vol.68 , pp. 2374-2376
    • Pauling, L.1
  • 8
    • 2442512205 scopus 로고    scopus 로고
    • Increased breath biomarkers of oxidative stress in diabetes mellitus
    • DOI 10.1016/j.cccn.2004.02.025, PII S0009898104001123
    • Phillips M et al 2004 Increased breath biomarkers of oxidative stress in diabetes mellitus Clin. Chim. Acta 344 189-94 (Pubitemid 38626154)
    • (2004) Clinica Chimica Acta , vol.344 , Issue.1-2 , pp. 189-194
    • Phillips, M.1    Cataneo, R.N.2    Cheema, T.3    Greenberg, J.4
  • 10
    • 26244435817 scopus 로고    scopus 로고
    • Exhaled volatile organic compounds in patients with non-small cell lung cancer: Cross sectional and nested short-term follow-up study
    • Poli D et al 2005 Exhaled volatile organic compounds in patients with non-small cell lung cancer: cross sectional and nested short-term follow-up study Respir. Res. 6 71
    • (2005) Respir. Res. , vol.6 , pp. 71
    • Poli, D.1
  • 11
    • 70449378196 scopus 로고    scopus 로고
    • Noninvasive detection of lung cancer by analysis of exhaled breath
    • Bajtarevic A et al 2009 Noninvasive detection of lung cancer by analysis of exhaled breath BMC Cancer 9 348
    • (2009) BMC Cancer , vol.9 , pp. 348
    • Bajtarevic, A.1
  • 12
    • 69749091957 scopus 로고    scopus 로고
    • Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of patients with lung cancer: Results of a pilot study
    • Westhoff M et al 2009 Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of patients with lung cancer: results of a pilot study Thorax 64 744-8
    • (2009) Thorax , vol.64 , pp. 744-748
    • Westhoff, M.1
  • 15
    • 80051903043 scopus 로고    scopus 로고
    • Non-invasive phenotyping using exhaled volatile organic compounds in asthma
    • Ibrahim B et al 2011 Non-invasive phenotyping using exhaled volatile organic compounds in asthma Thorax 66 804-9
    • (2011) Thorax , vol.66 , pp. 804-809
    • Ibrahim, B.1
  • 16
    • 77649180011 scopus 로고    scopus 로고
    • A profile of volatile organic compounds in breath discriminates COPD patients from controls
    • Van Berkel J J et al 2010 A profile of volatile organic compounds in breath discriminates COPD patients from controls Respir. Med. 104 557-63
    • (2010) Respir. Med. , vol.104 , pp. 557-563
    • Van Berkel, J.J.1
  • 17
    • 72749090104 scopus 로고    scopus 로고
    • Exhaled breath profiling enables discrimination of chronic obstructive pulmonary disease and asthma
    • Fens N et al 2009 Exhaled breath profiling enables discrimination of chronic obstructive pulmonary disease and asthma Am. J. Respir. Crit. Care Med. 180 1076-82
    • (2009) Am. J. Respir. Crit. Care Med. , vol.180 , pp. 1076-1082
    • Fens, N.1
  • 19
    • 10044219531 scopus 로고    scopus 로고
    • Applications of breath gas analysis in medicine
    • Amann A et al 2004 Applications of breath gas analysis in medicine Int. J. Mass Spectrom. 239 227-33
    • (2004) Int. J. Mass Spectrom. , vol.239 , pp. 227-233
    • Amann, A.1
  • 20
    • 0033801596 scopus 로고    scopus 로고
    • Effect of age on the breath methylated alkane contour, a display of apparent new markers of oxidative stress
    • Phillips M et al 2000 Effect of age on the breath methylated alkane contour, a display of apparent new markers of oxidative stress J. Lab. Clin. Med. 136 243-9
    • (2000) J. Lab. Clin. Med. , vol.136 , pp. 243-249
    • Phillips, M.1
  • 21
    • 77956490793 scopus 로고    scopus 로고
    • Breath biomarkers for lung cancer detection and assessment of smoking related effects-confounding variables, influence of normalization and statistical algorithms
    • Kischkel S et al 2010 Breath biomarkers for lung cancer detection and assessment of smoking related effects-confounding variables, influence of normalization and statistical algorithms Clin. Chim. Acta 411 1637-44
    • (2010) Clin. Chim. Acta , vol.411 , pp. 1637-1644
    • Kischkel, S.1
  • 22
    • 14944375305 scopus 로고    scopus 로고
    • Outcome criteria in smoking cessation trials: Proposal for a common standard
    • DOI 10.1111/j.1360-0443.2004.00995.x
    • West R et al 2005 Outcome criteria in smoking cessation trials: proposal for a common standard Addiction 100 299-303 (Pubitemid 40363436)
    • (2005) Addiction , vol.100 , Issue.3 , pp. 299-303
    • West, R.1    Hajek, P.2    Stead, L.3    Stapleton, J.4
  • 23
    • 78650177996 scopus 로고    scopus 로고
    • Chemical characterization of exhaled breath to differentiate between patients with malignant plueral mesothelioma from subjects with similar professional asbestos exposure
    • de Gennaro G, Dragonieri S, Longobardi F, Musti M, Stallone G, Trizio L and Tutino M 2010 Chemical characterization of exhaled breath to differentiate between patients with malignant plueral mesothelioma from subjects with similar professional asbestos exposure Anal. Bioanal Chem. 398 3043-50
    • (2010) Anal. Bioanal Chem. , vol.398 , pp. 3043-3050
    • De Gennaro, G.1    Dragonieri, S.2    Longobardi, F.3    Musti, M.4    Stallone, G.5    Trizio, L.6    Tutino, M.7
  • 27
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of SVMs using sequential minimal optimization
    • ed B Schoelkopf, C Burges and A Smola (Cambridge, MA: MIT Press)
    • Platt J 1998 Fast training of SVMs using sequential minimal optimization Advances in Kernel Methods - Support Vector Learning ed B Schoelkopf, C Burges and A Smola (Cambridge, MA: MIT Press) pp 185-208
    • (1998) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 28
    • 11244260106 scopus 로고    scopus 로고
    • Machine Learning Group at
    • Weka 3 Data Mining Software in Java. Machine Learning Group at University of Waikato 2011 http://www.cs.waikato.ac.nz/ml/weka/
    • (2011) Weka 3 Data Mining Software in Java
  • 31
    • 0002129041 scopus 로고    scopus 로고
    • Generating accurate rule sets without global optimization
    • San Francisco: Morgan Kaufmann Publishers
    • Witten I H and Frank E 1998 Generating accurate rule sets without global optimization Proc. 15th Int. Conf. on Machine Learning (San Francisco: Morgan Kaufmann Publishers) pp 144-55
    • (1998) Proc. 15th Int. Conf. on Machine Learning , pp. 144-155
    • Witten, I.H.1    Frank, E.2
  • 32
    • 0025725905 scopus 로고
    • Instance-based learning algorithms
    • DOI 10.1023/A:1022689900470
    • Aha D and Kibler D 1992 Instance-based learning algorithms Mach. Learn. 6 37-66 (Pubitemid 21727227)
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 37-66
    • Aha, D.W.1    Kibler, D.2    Albert, M.K.3
  • 33
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • Breiman L 2001 Random forests Mach. Learn. 45 5-32 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 35
    • 79956319820 scopus 로고    scopus 로고
    • Fuzzy-rough nearest neighbour classification
    • Transactions on Rough Sets XIII (Berlin: Springer)
    • Jensen R and Cornelis C 2011 Fuzzy-rough nearest neighbour classification Transactions on Rough Sets XIII (LNCS 6499) (Berlin: Springer) pp 56-72
    • (2011) LNCS , vol.6499 , pp. 56-72
    • Jensen, R.1    Cornelis, C.2
  • 36
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • Ho T-K 1998 The random subspace method for constructing decision forests IEEE Trans. Pattern Anal. Mach. Intell. 20 832-44
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , pp. 832-844
    • Ho, T.-K.1
  • 37
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L 1996 Bagging predictors Mach. Learn. 24 123-40 (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 38
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • Kohavi R 1995 A study of cross-validation and bootstrap for accuracy estimation and model selection Proc. Int. Joint Conf. on Artificial Intelligence pp 1137-43
    • (1995) Proc. Int. Joint Conf. on Artificial Intelligence , pp. 1137-1143
    • Kohavi, R.1
  • 39
    • 0039136604 scopus 로고    scopus 로고
    • Note on free lunches and cross-validation
    • Goutte C 1997 Note on free lunches and cross-validation Neural Comput. 9 1211-5
    • (1997) Neural Comput. , vol.9 , pp. 1211-1215
    • Goutte, C.1
  • 40
    • 21144474350 scopus 로고
    • Linear model selection by cross-validation
    • Shao J 1993 Linear model selection by cross-validation J. Am. Stat. Assoc. 88 486-94
    • (1993) J. Am. Stat. Assoc. , vol.88 , pp. 486-494
    • Shao, J.1
  • 41
    • 68849126540 scopus 로고    scopus 로고
    • New approaches to fuzzy-rough feature selection
    • Jensen R and Shen Q 2009 New approaches to fuzzy-rough feature selection IEEE Trans. Fuzzy Syst. 17 824-38
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , pp. 824-838
    • Jensen, R.1    Shen, Q.2
  • 42
  • 44
    • 34250722175 scopus 로고    scopus 로고
    • Exposure reconstruction for reducing uncertainty in risk assessment: Example using MTBE biomarkers and a simple pharmacokinetic model
    • DOI 10.1080/13547500701246334, PII 779503622
    • Pleil J D et al 2007 Exposure reconstruction for reducing uncertainty in risk assessment: example using MTBE biomarkers and a simple pharmacokinetic model Biomarkers 12 331-48 (Pubitemid 46952297)
    • (2007) Biomarkers , vol.12 , Issue.4 , pp. 331-348
    • Pleil, J.D.1    Kim, D.2    Prah, J.D.3    Rappaport, S.M.4
  • 47
    • 85008025118 scopus 로고    scopus 로고
    • 2 Controlled Breath Collection Device
    • 2 Controlled Breath Collection Device IEEE Sens. J. 10 211-15
    • (2010) IEEE Sens. J. , vol.10 , pp. 211-215
    • Miekisch, W.1
  • 48
    • 0031149661 scopus 로고    scopus 로고
    • Method for the collection and assay of volatile organic compounds in breath
    • DOI 10.1006/abio.1997.2069
    • Phillips M 1997 Method for the collection and assay of volatile organic compounds in breath Anal. Biochem. 247 272-8 (Pubitemid 27200161)
    • (1997) Analytical Biochemistry , vol.247 , Issue.2 , pp. 272-278
    • Phillips, M.1
  • 49
    • 34447298617 scopus 로고    scopus 로고
    • Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array
    • DOI 10.1136/thx.2006.072892
    • Mazzone P J et al 2007 Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array Thorax 62 565-8 (Pubitemid 47056880)
    • (2007) Thorax , vol.62 , Issue.7 , pp. 565-568
    • Mazzone, P.J.1    Hammel, J.2    Dweik, R.3    Na, J.4    Czich, C.5    Laskowski, D.6    Mekhail, T.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.