메뉴 건너뛰기




Volumn 4, Issue , 2017, Pages 24-31

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT

Author keywords

Decision support systems; Distributed learning; Dyspnea; Predictive models; Support vector machine

Indexed keywords

ALTERNATING DIRECTION METHOD OF MULTIPLIER; AREA UNDER THE CURVE; ARTICLE; DATA BASE; DYSPHAGIA; DYSPNEA; HEALTH CARE; HUMAN; INFORMATION PROCESSING; LEARNING ALGORITHM; LUNG CANCER; MACHINE LEARNING; MAJOR CLINICAL STUDY; MODEL; MULTICENTER STUDY; OUTCOME ASSESSMENT; PATIENT CODING; PERSONALIZED MEDICINE; PREDICTION MODEL; PRIORITY JOURNAL; RADIATION ONCOLOGY; SUPPORT VECTOR MACHINE; VALIDATION STUDY;

EID: 85028727313     PISSN: None     EISSN: 24056308     Source Type: Journal    
DOI: 10.1016/j.ctro.2016.12.004     Document Type: Article
Times cited : (131)

References (24)
  • 1
    • 84871609385 scopus 로고    scopus 로고
    • Predicting outcomes in radiation oncology–multifactorial decision support systems
    • Lambin, P., et al. Predicting outcomes in radiation oncology–multifactorial decision support systems. Nat Rev Clin Oncol 10:1 (2013), 27–40.
    • (2013) Nat Rev Clin Oncol , vol.10 , Issue.1 , pp. 27-40
    • Lambin, P.1
  • 2
    • 84943774122 scopus 로고    scopus 로고
    • Measuring computed tomography scanner variability of radiomics features
    • Mackin, D., et al. Measuring computed tomography scanner variability of radiomics features. Invest Radiol 50:11 (2015), 757–765.
    • (2015) Invest Radiol , vol.50 , Issue.11 , pp. 757-765
    • Mackin, D.1
  • 3
    • 61749084918 scopus 로고    scopus 로고
    • Inter-professional variability in the assignment and recording of acute toxicity grade using the RTOG system during prostate radiotherapy
    • Rosewall, T., et al. Inter-professional variability in the assignment and recording of acute toxicity grade using the RTOG system during prostate radiotherapy. Radiother Oncol 90:3 (2009), 395–399.
    • (2009) Radiother Oncol , vol.90 , Issue.3 , pp. 395-399
    • Rosewall, T.1
  • 4
    • 84922638163 scopus 로고    scopus 로고
    • Rapid learning in practice: a lung cancer survival decision support system in routine patient care data
    • Dekker, A., et al. Rapid learning in practice: a lung cancer survival decision support system in routine patient care data. Radiother Oncol 113:1 (2014), 47–53.
    • (2014) Radiother Oncol , vol.113 , Issue.1 , pp. 47-53
    • Dekker, A.1
  • 5
    • 84888072190 scopus 로고    scopus 로고
    • ‘Rapid learning health care in oncology’ – an approach towards decision support systems enabling customised radiotherapy’
    • Lambin, P., et al. ‘Rapid learning health care in oncology’ – an approach towards decision support systems enabling customised radiotherapy’. Radiother Oncol 109:1 (2013), 159–164.
    • (2013) Radiother Oncol , vol.109 , Issue.1 , pp. 159-164
    • Lambin, P.1
  • 7
    • 84900373713 scopus 로고    scopus 로고
    • WebGLORE: a web service for Grid LOgistic REgression
    • Jiang, W., et al. WebGLORE: a web service for Grid LOgistic REgression. Bioinformatics, 2013, btt559.
    • (2013) Bioinformatics , pp. btt559
    • Jiang, W.1
  • 8
    • 85071353025 scopus 로고    scopus 로고
    • Welcome to the NCBO BioPortal | NCBO BioPortal. [Online] Available: <>; [accessed 26.10.16].
    • Welcome to the NCBO BioPortal | NCBO BioPortal. [Online] Available: < http://bioportal.bioontology.org/>; 2016 [accessed 26.10.16].
    • (2016)
  • 9
    • 85071355176 scopus 로고    scopus 로고
    • SPARQL query language for RDF. W3C Recomm.;
    • Prud'Hommeaux E, Seaborne A. SPARQL query language for RDF. W3C Recomm., vol. 15; 2008.
    • (2008) , vol.15
    • Prud'Hommeaux, E.1    Seaborne, A.2
  • 10
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J., Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3:1 (2011), 1–122.
    • (2011) Found Trends Mach Learn , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 11
    • 85071350612 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers. [Online] Available: <>; [accessed: 26.10.16].
    • Distributed optimization and statistical learning via the alternating direction method of multipliers. [Online] Available: < http://web.stanford.edu/~boyd/papers/admm_distr_stats.html>; 2016 [accessed: 26.10.16].
    • (2016)
  • 12
    • 65749091886 scopus 로고    scopus 로고
    • The importance of patient characteristics for the prediction of radiation-induced lung toxicity
    • Dehing-Oberije, C., Ruysscher, D.D., van Baardwijk, A., Yu, S., Rao, B., Lambin, P., The importance of patient characteristics for the prediction of radiation-induced lung toxicity. Radiother Oncol 91:3 (2009), 421–426.
    • (2009) Radiother Oncol , vol.91 , Issue.3 , pp. 421-426
    • Dehing-Oberije, C.1    Ruysscher, D.D.2    van Baardwijk, A.3    Yu, S.4    Rao, B.5    Lambin, P.6
  • 13
    • 84888026434 scopus 로고    scopus 로고
    • Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients
    • Nalbantov, G., et al. Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients. Radiother Oncol J Eur Soc Ther Radiol Oncol 109:1 (2013), 100–106.
    • (2013) Radiother Oncol J Eur Soc Ther Radiol Oncol , vol.109 , Issue.1 , pp. 100-106
    • Nalbantov, G.1
  • 14
    • 84872548900 scopus 로고    scopus 로고
    • Early stopping — but when?
    • G. Montavon G.B. Orr K.-R. Müller Springer Berlin Heidelberg
    • Prechelt, L., Early stopping — but when?. Montavon, G., Orr, G.B., Müller, K.-R., (eds.) Neural networks: tricks of the trade, 2012, Springer, Berlin Heidelberg, 53–67.
    • (2012) Neural networks: tricks of the trade , pp. 53-67
    • Prechelt, L.1
  • 15
    • 85071350793 scopus 로고    scopus 로고
    • EuroCAT umbrella protocol for NSCLC
    • Oberije, Cary, et al. EuroCAT umbrella protocol for NSCLC. 2013.
    • (2013)
    • Oberije, C.1
  • 16
    • 84908205394 scopus 로고    scopus 로고
    • An umbrella protocol for standardized data collection (SDC) in rectal cancer: a prospective uniform naming and procedure convention to support personalized medicine
    • Meldolesi, E., et al. An umbrella protocol for standardized data collection (SDC) in rectal cancer: a prospective uniform naming and procedure convention to support personalized medicine. Radiother Oncol J Eur Soc Ther Radiol Oncol 112:1 (2014), 59–62.
    • (2014) Radiother Oncol J Eur Soc Ther Radiol Oncol , vol.112 , Issue.1 , pp. 59-62
    • Meldolesi, E.1
  • 17
    • 77957949436 scopus 로고    scopus 로고
    • Rapid-learning system for cancer care
    • Abernethy, A.P., et al. Rapid-learning system for cancer care. J Clin Oncol Off J Am Soc Clin Oncol 28:27 (2010), 4268–4274.
    • (2010) J Clin Oncol Off J Am Soc Clin Oncol , vol.28 , Issue.27 , pp. 4268-4274
    • Abernethy, A.P.1
  • 19
    • 84961165421 scopus 로고    scopus 로고
    • Randomized clinical trials and observational studies: is there a battle?
    • Chavez-MacGregor, M., Giordano, S.H., Randomized clinical trials and observational studies: is there a battle?. J Clin Oncol 34:8 (2016), 772–773.
    • (2016) J Clin Oncol , vol.34 , Issue.8 , pp. 772-773
    • Chavez-MacGregor, M.1    Giordano, S.H.2
  • 20
    • 77954600968 scopus 로고    scopus 로고
    • Critical impact of radiotherapy protocol compliance and quality in the treatment of advanced head and neck cancer: results from TROG 02.02
    • Peters, L.J., et al. Critical impact of radiotherapy protocol compliance and quality in the treatment of advanced head and neck cancer: results from TROG 02.02. J Clin Oncol Off J Am Soc Clin Oncol 28:18 (2010), 2996–3001.
    • (2010) J Clin Oncol Off J Am Soc Clin Oncol , vol.28 , Issue.18 , pp. 2996-3001
    • Peters, L.J.1
  • 21
    • 2642573558 scopus 로고    scopus 로고
    • Participation in cancer clinical trials: race-, sex-, and age-based disparities
    • Murthy, V.H., Krumholz, H.M., Gross, C.P., Participation in cancer clinical trials: race-, sex-, and age-based disparities. JAMA 291:22 (2004), 2720–2726.
    • (2004) JAMA , vol.291 , Issue.22 , pp. 2720-2726
    • Murthy, V.H.1    Krumholz, H.M.2    Gross, C.P.3
  • 22
    • 34447268693 scopus 로고    scopus 로고
    • Who enrolls onto clinical oncology trials? a radiation patterns of care study analysis
    • Movsas, B., et al. Who enrolls onto clinical oncology trials? a radiation patterns of care study analysis. Int J Radiat Oncol Biol Phys 68:4 (2007), 1145–1150.
    • (2007) Int J Radiat Oncol Biol Phys , vol.68 , Issue.4 , pp. 1145-1150
    • Movsas, B.1
  • 23
    • 85006046138 scopus 로고    scopus 로고
    • Distributed learning: developing a predictive model based on data from multiple hospitals without data leaving the hospital – a real life proof of concept
    • Jochems, A., et al. Distributed learning: developing a predictive model based on data from multiple hospitals without data leaving the hospital – a real life proof of concept. Radiother Oncol, 2016.
    • (2016) Radiother Oncol
    • Jochems, A.1
  • 24
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Platt, J.C., Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in large margin classifiers, 1999, 61–74.
    • (1999) Advances in large margin classifiers , pp. 61-74
    • Platt, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.