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dc.contributor.authorRodríguez Alcantud, José Carlos 
dc.contributor.authorJiménez López, Marcelo Fernando 
dc.contributor.authorSantos-Buitrago, Beatriz
dc.contributor.authorSantos García, Gustavo 
dc.contributor.authorVarela, Gonzalo
dc.coverage.spatialSalamanca University Hospital (España), lat=40,9701; long=-5,6635
dc.coverage.temporalstart=1994 and end=2016
dc.date.accessioned2019-02-01T13:46:49Z
dc.date.available2019-02-01T13:46:49Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10366/139163
dc.descriptionDatasetes_ES
dc.description.abstractThis initial database was developed in a study of 403 patients who underwent major pulmonary resections in the Salamanca University Hospital from 1994 to 2016. We have taken patients with known survival status and a surgical procedure other than pneumonectomy. The variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); and (6) Presence of complications in the surgery. The variable of mortality allows us to establish the survival of the patient. Age is obtained from the date of birth and the date of surgery. Body mass index is calculated based on the weight and size of the patient.es_ES
dc.description.tableofcontentsThe variables used in our study are: (1) Age of patient; (2) Body mass index (abbr. BMI, expressed in kg/m^2); (3) Existence of chronic obstructive pulmonary disease (abbr. COPD); (4) Forced vital capacity calculated percentage (abbr. FEV1%); (5) Approach of the surgery (thoracotomy or video-assisted thoracoscopic surgery, VATS); (6) Presence of complications in the surgery.
dc.language.isoenges_ES
dc.publisherPublic Library of Science (New York)
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSurvival predictiones_ES
dc.subjectLung canceres_ES
dc.subjectLung resectiones_ES
dc.subjectNon-small cell lung canceres_ES
dc.subjectPredictive modelses_ES
dc.subjectSoft expert systemes_ES
dc.subjectSoft setes_ES
dc.subjectFuzzy setes_ES
dc.titleAnalysis of survival for lung cancer resections cases with fuzzy and soft set theory in surgical decision making. Datasetes_ES
dc.typeinfo:eu-repo/semantics/otheres_ES
dc.identifier.doi10.14201/gredos.139163
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.publication.year2019


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Attribution-NonCommercial-NoDerivs 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 4.0 International