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Forecasting: Adopting the Methodology of Support Vector Machines to Nursing Research

dc.contributor.authorTzeng, Huey-Mingen_US
dc.date.accessioned2010-06-01T18:21:36Z
dc.date.available2010-06-01T18:21:36Z
dc.date.issued2006-09en_US
dc.identifier.citationTzeng, Huey-Ming (2006). "Forecasting: Adopting the Methodology of Support Vector Machines to Nursing Research." Worldviews on Evidence-Based Nursing 3(3): 124-128. <http://hdl.handle.net/2027.42/71569>en_US
dc.identifier.issn1545-102Xen_US
dc.identifier.issn1741-6787en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/71569
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=16965314&dopt=citationen_US
dc.format.extent213279 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Incen_US
dc.rights2006 Sigma Theta Tau Internationalen_US
dc.titleForecasting: Adopting the Methodology of Support Vector Machines to Nursing Researchen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelNursingen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumHuey-Ming Tzeng, Associate Professor, Division of Nursing Business and Health Systems, School of Nursing, The University of Michigan, Ann Arbor, MIen_US
dc.identifier.pmid16965314en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/71569/1/j.1741-6787.2006.00062.x.pdf
dc.identifier.doi10.1111/j.1741-6787.2006.00062.xen_US
dc.identifier.sourceWorldviews on Evidence-Based Nursingen_US
dc.identifier.citedreferenceCai, Y.D., Liu, X.J., Xu, X.B. & Chou, K.C. ( 2002 ). Prediction of protein structural classes by support vector machines. Computers & Chemistry, 26 ( 3 ), 293 – 296.en_US
dc.identifier.citedreferenceCristianini, N. & Shawe-Taylor, J. ( 2000 ). An introduction to support vector machines. Cambridge: Cambridge University Press.en_US
dc.identifier.citedreferenceFeinstein, R. & Plutchik, R. ( 1990 ). Violence and suicide risk assessment in the psychiatric emergency. Comprehensive Psychiatry, 31, 337 – 343.en_US
dc.identifier.citedreferenceHo, H., Yin, C.C., Hwu, H.G. & Tsuang, M.M. ( 1995 ). Violence and suicide assessment scale: A reliability and validity study. Chinese Psychiatry-R.O.C., 9, 122 – 128.en_US
dc.identifier.citedreferenceKemp, R. & David, A. ( 1996 ). Insight and compliance. In Blackwell B. ( eds ), Treatment Compliance and the Therapeutic Alliance. Newark, NJ: Gordon and Breach Publishing Group, pp. 61 – 84.en_US
dc.identifier.citedreferenceSchÖlkopf, B. & Smola, A.J. ( 2002 ). Learning with kernels. Cambridge, MA: MIT Press.en_US
dc.identifier.citedreferenceTzeng, H.M. ( 2002 ). The influence of working motivation and job satisfaction on intention to quit: An empirical investigation on nurses. International Journal of Nursing Studies, 9 ( 8 ), 867 – 878.en_US
dc.identifier.citedreferenceTzeng, H.M., Hsieh, J.G. & Lin, Y.L. ( 2004 ). Predicting the influence of working motivation and job satisfaction on nurses' intention to quit with a support vector machine: A new approach to set up an early warning in human resource management. Computers, Informatics, Nursing, 22 ( 4 ), 232 – 242.en_US
dc.identifier.citedreferenceTzeng, H.M., Lin, Y.L. & Hsieh, J.G. ( 2004 ). Forecasting violent behaviors for schizophrenic outpatients using their disease insights: Development of a binary logistic regression model and a support vector model. International Journal of Mental Health, 33 ( 2 ), 17 – 31.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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