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Erschienen in:
The Anti-Apoptotic Effect of Transgenic Akt1 Gene on Cultured New-Born Rats Cardiomyocytes Mediated by Ultrasound/Microbubbles Destruction Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

102. Consistent Metric Learning for Outcomes of Different Measurement Tools of Cervical Spondylosis: Towards Better Therapeutic Effectiveness Evaluation

verfasst von : Gang Zhang, Ying Huang, Yingchun Zhong, Wuwei Wang

Erschienen in: Frontier and Future Development of Information Technology in Medicine and Education

Verlag: Springer Netherlands

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Abstract

Various measuring tools have been developed to evaluate the therapeutic effectiveness of neck pain caused by cervical spondylosis (CS). However, due to different evaluation bias of these tools, it has been observed empirically that there may be some inconsistency between the outcomes of different measuring tools, leading to great challenges to precisely evaluate therapeutic effectiveness. We propose to apply a supervised metric learning algorithm to learn a metric integrating the concerned outcomes of measuring tools with least inconsistency according to the training set. Through a pair-wise constraints metric learning algorithm, the metric is expressed as a parameterized transformation. We evaluate the learnt metric and the original outcomes with three well-known learning models on the clinical data from a multi-center clinical study on acupuncture for neck pain caused by CS. The result shows that the learned integrated metric has better performance than the original outcomes.

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Vorheriges Kapitel The Study of Community–Family Remote Health Supervisory System Based on IOT
Nächstes Kapitel Design and Creation of a Universal Model of Educational Process with the Support of Petri Nets
Literatur
1.
Hogg-Johnson S, van der Velde G, Carroll LJ, Holm LW, Cassidy JD, Guzman J et al (2008) The burden and determinants of neck pain in the general population: results of the bone and joint decade 2000–2010 task force on neck pain and its associated disorders. Spine 33(4 Suppl):S39–S51CrossRef
2.
Zhao L, Chan K (2005) Patient-reported outcomes (PROs): an approach to evaluate treatment efficacy of Chinese medicine or integrative medicine. Chin J Integr Med 11(2):151–153CrossRef
3.
Vernon H, Mior S (1994) The Northwick Park Neck Pain Questionnaire, devised to measure neck pain and disability. Br J Rheumatol 33(12):1203–1204CrossRef
4.
Chiu TTW, Hui-Chan CWY, Chein G (2005) A randomized clinical trial of TENS and exercise for patients with chronic neck pain. Clin Rehabil 19(8):850–860CrossRef
5.
Melzack R (1975) The McGill Pain Questionnaire: Major properties and scoring methods. Pain 1:277–299CrossRef
6.
Willich SN, Reinhold T, Selim D, Jena S, Brinkhaus B, Witt CM (2006) Cost-effectiveness of acupuncture treatment in patients with chronic neck pain. Pain 125:107–113CrossRef
7.
Zhang G, Fang J, Liang Z, Fu W, Liu J, Xu N (2011) Therapeutic effectiveness evaluation algorithm based on KCCA for neck pain caused by different diagnostic sub-types of cervical spondylosis. In: 2011 4th International conference on biomedical engineering and informatics, BMEI 2011, October 15, 2011–October 17, 2011. vol. 4 of Proceedings - 2011 4th international conference on biomedical engineering and informatics, BMEI 2011. IEEE Computer Society. p. 1794–1798
8.
Di Z, Zhang HL, Zhang G, Liang ZH, Jiang L, Liu JH, et al. A clinical outcome evaluation model with local sample selection: A study on efficacy of acupuncture for cervical spondylosis. In: 2011 IEEE international conference onbioinformatics and biomedicine workshops, BIBMW 2011, November 12, 2011–November 15, 2011. 2011 IEEE international conference on bioinformatics and biomedicine workshops, BIBMW 2011. IEEE Computer Society. p. 829–833
9.
Yang L, Jin R (2006) Distance metric learning: a comprehensive survey. Department of computer science and engineering, Michigan State University
10.
Laub J, Muller KR (2004) Feature discovery in non-metric pairwise data. J Mach Learn Res 5:801–818MATHMathSciNet
11.
Lu Z, Jain P, Dhillon IS (2009) Geometry-aware metric learning. In: Proceedings of the 26th annual international conference on machine learning. ICML’09. New York, NY, USA. ACM, pp 673–680
12.
Zhang Y, Zhou ZH (2009) Non-metric label propagation. In: Boutilier C, (ed). IJCAI pp 1357–1362
13.
Liang Z, Zhang G, Xu S, Ou A, Fang J, Xu N, et al (2011) A kernel-decision tree based algorithm for outcome prediction on acupuncture for neck pain: A new method for interim analysis. In: BIBM Workshops. IEEE pp 760–764
14.
Davis JV, Kulis B, Jain P, Sra S, Dhillon IS (2007) Information-theoretic metric learning. In: Proceedings of the 24th international conference on machine learning. ICML’07. New York, NY, USA: ACM pp 209–216
Metadaten
Titel
Consistent Metric Learning for Outcomes of Different Measurement Tools of Cervical Spondylosis: Towards Better Therapeutic Effectiveness Evaluation
verfasst von
Gang Zhang
Ying Huang
Yingchun Zhong
Wuwei Wang
Copyright-Jahr
2014
Verlag
Springer Netherlands
Buch
Frontier and Future Development of Information Technology in Medicine and Education

Print ISBN: 978-94-007-7617-3

Electronic ISBN: 978-94-007-7618-0

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-94-007-7618-0_102

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