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Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pntd.0000196
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dc.titleDecision tree algorithms predict the diagnosis and outcome of dengue fever in the early phase of illness
dc.contributor.authorTanner L.
dc.contributor.authorSchreiber M.
dc.contributor.authorLow J.G.H.
dc.contributor.authorOng A.
dc.contributor.authorTolfvenstam T.
dc.contributor.authorLai Y.L.
dc.contributor.authorNg L.C.
dc.contributor.authorLeo Y.S.
dc.contributor.authorPuong L.T.
dc.contributor.authorVasudevan S.G.
dc.contributor.authorSimmons C.P.
dc.contributor.authorHibberd M.L.
dc.contributor.authorOoi E.E.
dc.date.accessioned2018-05-14T05:07:45Z
dc.date.available2018-05-14T05:07:45Z
dc.date.issued2008
dc.identifier.citationTanner L., Schreiber M., Low J.G.H., Ong A., Tolfvenstam T., Lai Y.L., Ng L.C., Leo Y.S., Puong L.T., Vasudevan S.G., Simmons C.P., Hibberd M.L., Ooi E.E. (2008). Decision tree algorithms predict the diagnosis and outcome of dengue fever in the early phase of illness. PLoS Neglected Tropical Diseases 2 (3) : e196. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pntd.0000196
dc.identifier.issn19352735
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/141883
dc.publisherPublic Library of Science (PLoS)
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1371/journal.pntd.0000196
dc.description.sourcetitlePLoS Neglected Tropical Diseases
dc.description.volume2
dc.description.issue3
dc.description.pagee196
dc.identifier.isiut000261806600016
dc.published.statepublished
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