Fuentes DZ, Rodríguez SO, Grau ÁR

Language: Spanish
References: 9
Page: 60-70
PDF size: 426.27 Kb.

ABSTRACT

Background: the surgical patient's evaluation preoperatory constitutes a fundamental step in the clinical trial.
Objective: to implement the prognosis model of surgical mortality.
Method: the elaboration of the pattern was based on the technique of the trees of decision; it emphasized the combinations possible problems among the used variables. Among the possible breakdown techniques Classification and Regression Trees (CRT) was selected. The pattern was determined like the probability of die in each terminal node of the tree. The curve of COR was used for the estimate of a good threshold starting from which the pattern led to deceased's prediction. The results of the prediction were correlated with the data of alive and real deceased’s, with the conglomerates and the dimensions found in the first part of the prosecution.
Results: the pattern presage of surgical mortality was elaborated through the tree of decision.
Conclusions: the pattern was applied both at the University Hospital Manuel Ascunce Domenech in Camagüey and in the University Hospital Arnaldo Milián Castro in Villa Clara, applications that demonstrated it can be acted like alarm presage of preoperatory mortality from the preoperatory evaluation of the patients proposed for surgical intervention.

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