| Téléchargement | - Voir le manuscrit accepté : Diagnosis of type II diabetes based on non-glucose regions of ¹H NMR spectra of urine : a metabonomic approach (PDF, 989 Kio)
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| Auteur | Rechercher : Nicolescu, Alina; Rechercher : Dolenko, Brion1; Rechercher : Bezabeh, Tedros1; Rechercher : Stefan, Lorena-Ivona; Rechercher : Ciurtin, Coziana; Rechercher : Kovacs, Eugenia; Rechercher : Smith, Ian C. P.1; Rechercher : Simionescu, Bogdan C.; Rechercher : Deleanu, Calin |
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| Affiliation | - Conseil national de recherches du Canada. Institut du biodiagnostic du CNRC
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| Format | Texte, Article |
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| Sujet | NMR spectroscopy; urinary metabolites; diabetes; statistical classification; chemometry |
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| Résumé | A NMR dataset with non-buffered urine samples consisting of 73 controls and 94 type II diabetes was suojeci to an in-house statistical classifier. A model was developed based on two glucose-free regions of the spectrum and those maximally discriminatory subregions selected most often by the algorithm were noted. The final classifier achieved 83.0% sensitivity and 83.6% specificity, with 83.2% overall accuracy. There were five spectral subregions selected by the algorithm as most relevant for discrimination. The protocol works well with non-buffered samples and has the potential for an automated clinical diagnosis of diabetes. |
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| Date de publication | 2011-12 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 19688663 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 3807bbf3-7f74-4532-8207-3e8cdd0a8fb2 |
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| Enregistrement créé | 2012-03-22 |
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| Enregistrement modifié | 2020-04-21 |
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