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Post-processing: bridging the gap between modelling and effective decision-support. The Profile Assessment Grid in Human Behaviour
dc.contributor.author | Gibert, Karina |
dc.contributor.author | Rodríguez Silva, Gustavo |
dc.contributor.author | Annicchiarico, Roberta |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2013-03-22T10:23:55Z |
dc.date.created | 2011-11-28 |
dc.date.issued | 2011-11-28 |
dc.identifier.citation | Gibert, Karina; Rodríguez, G.; Annicchiarico, R. Post-processing: bridging the gap between modelling and effective decision-support. The Profile Assessment Grid in Human Behaviour. "Mathematical and computer modeling", 28 Novembre 2011, vol. 57, núm. 7-8, p. 1633-1639. |
dc.identifier.issn | 0895-7177 |
dc.identifier.uri | http://hdl.handle.net/2117/18474 |
dc.description.abstract | The importance of post-processing the results of clustering when using data mining to support subsequent decision-making is discussed. Both the formal embedded binary logistic regression (EBLR) and the visual profile’s assessment grid (PAG) methods are presented as bridging tools for the real use of clustering results. EBLR is a sequence of logistic regressions that helps to predict the class of a new object; while PAG is a graphical tool that visualises the results of an EBLR. PAG interactively determines the most suitable class for a new object and enables subsequent follow-ups. PAG makes the underlying mathematical model (EBLR) more understandable, improves usability and contributes to bridging the gap between modelling and decision-support. When applied to medical problems, these tools can perform as diagnostic-support tools, provided that the predefined set of profiles refer to different stages of a certain disease or different types of patients with a same medical problem, etc. Being a graphical tool, PAG enables doctors to quickly and friendly determine the profile of a patient in the everyday activity, without necessarily understanding the statistical models involved in the process, which used to be a serious limitation for wider application of these methods in clinical praxis. In this work, an application is presented with 4 functional disability profiles. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències |
dc.subject.lcsh | Programming (Mathematics) |
dc.subject.other | Data mining |
dc.subject.other | Knowledge discovery from databases |
dc.subject.other | Clustering |
dc.subject.other | Logistic regression |
dc.subject.other | Profiles assessment grid |
dc.subject.other | Post-processing |
dc.subject.other | Decision-support |
dc.subject.other | Human behaviour |
dc.title | Post-processing: bridging the gap between modelling and effective decision-support. The Profile Assessment Grid in Human Behaviour |
dc.type | Article |
dc.subject.lemac | Programació (Matemàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.identifier.doi | 10.1016/j.mcm.2011.10.046 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | 90C Programació matemàtica |
dc.relation.publisherversion | http://upcommons.upc.edu/e-prints/urlFiles?idDrac=8756896 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 8756896 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Gibert, Karina; Rodríguez, G.; Annicchiarico, R. |
local.citation.publicationName | Mathematical and computer modeling |
local.citation.volume | 57 |
local.citation.number | 7-8 |
local.citation.startingPage | 1633 |
local.citation.endingPage | 1639 |
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