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Autoregressive modelling of chromatographic signals from urine samples for prostate cancer diagnosis
dc.contributor.author | Soto Vergel, Angelo Joseph | |
dc.contributor.author | Medina Delgado, Byron | |
dc.contributor.author | palacios alvarado, wlamyr | |
dc.date.accessioned | 2022-11-18T15:51:55Z | |
dc.date.available | 2022-11-18T15:51:55Z | |
dc.date.issued | 2021-06-09 | |
dc.identifier.uri | https://repositorio.ufps.edu.co/handle/ufps/6539 | |
dc.description.abstract | This article evaluates autoregressive modeling as a feature extraction method in a database of chromatographic signals from urine samples for non-invasive diagnostic support of prostate cancer in response to the research question: Can chromatographic signals from urine be characterized and used as a non-invasive method for cancer diagnosis? For this purpose, a database of 18 patients, 9 diagnosed with prostate cancer and 9 control patients, is consolidated, statistical methods are implemented to generate autoregressive coefficients from the data signals, and finally, the principal component analysis technique is applied for crossclass classification. As a result, a correct classification was obtained in the total number of samples validating the autoregressive modelling as a feature extraction method in contrast to the conventional methodology usually followed in chromatographic signal processing. | eng |
dc.format.extent | 07 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.publisher | Journal of Physics: Conference Series | spa |
dc.relation.ispartof | Journal of Physics: Conference Series. Vol.1938 N°.1. (2021) | |
dc.rights | Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence | eng |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | spa |
dc.source | https://iopscience.iop.org/article/10.1088/1742-6596/1938/1/012011/pdf | spa |
dc.title | Autoregressive modelling of chromatographic signals from urine samples for prostate cancer diagnosis | eng |
dc.type | Artículo de revista | spa |
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dc.contributor.corporatename | Journal of Physics: Conference Series | spa |
dc.identifier.doi | 10.1088/1742-6596/1938/1/012011 | |
dc.publisher.place | Reino Unido | spa |
dc.relation.citationedition | Vol. 1938 N°.1. (2021) | spa |
dc.relation.citationendpage | 6 | spa |
dc.relation.citationissue | 1(2021) | spa |
dc.relation.citationstartpage | 1 | spa |
dc.relation.citationvolume | 1938 | spa |
dc.relation.cites | Soto-Vergel, A. J., Medina-Delgado, B., & Palacios-Alvarado, W. L. A. M. Y. R. (2021, May). Autoregressive modelling of chromatographic signals from urine samples for prostate cancer diagnosis. In Journal of Physics: Conference Series (Vol. 1938, No. 1, p. 012011). IOP Publishing. | |
dc.relation.ispartofjournal | Journal of Physics: Conference Series | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.subject.proposal | Chromatography | eng |
dc.subject.proposal | Classification (of information) | eng |
dc.subject.proposal | Diagnosis | eng |
dc.subject.proposal | Diseases | eng |
dc.subject.proposal | Feature extraction | eng |
dc.subject.proposal | Noninvasive medical procedures | eng |
dc.subject.proposal | Signal processing | eng |
dc.subject.proposal | Urology | eng |
dc.subject.proposal | Auto regressive models | eng |
dc.subject.proposal | Autoregressive coefficient | eng |
dc.subject.proposal | Autoregressive modelling | eng |
dc.subject.proposal | Chromatographic signals | eng |
dc.subject.proposal | Feature extraction methods | eng |
dc.subject.proposal | Non-invasive diagnostics | eng |
dc.subject.proposal | Noninvasive methods | eng |
dc.subject.proposal | Research questions | eng |
dc.subject.proposal | Extraction | eng |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |