6 resultados para SAPS
em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain
Resumo:
Es tracta d'un treball d'exploració de les dades privades de les nostres activitats a Facebook i de conscienciació dels usuaris de les xarxes socials.
Resumo:
Treball d'exploració de les dades privades de les nostres activitats a Facebook i de conscienciació dels usuaris de les xarxes socials.
Resumo:
Objetivo: Analizar los factores asociados a mortalidad en UCI, en planta y al año. Material y Métodos: Estudio prospectivo observacional de 134 pacientes cuya evolución se sigue hasta el fallecimiento o hasta el año del episodio crítico. Resultados: mortalidad en UCI 20,9%, mortalidad hospitalaria 24,6%, mortalidad al año 34,1%. Conclusiones: La mortalidad en UCI se correlaciona con el APACHE II medio de 22 y SAPS II medio de 60. Los fallecidos en planta tienen una APACHE de 15 y SAPS de 51. Al año, encontramos relación con la edad media de 69 años, APACHE de 20 y SAPS de 57.
Resumo:
La empresa Eatout quiere crear un Cuadro de Mando desde el que llevar el control de ventas de los restaurantes. Actualmente se comprueba qué locales faltan por cerrar la jornada de ventas y se lleva un registro de los errores desde una hoja de cálculo. Con este proyecto se pretende agilizar y facilitar la gestión de ventas, y analizar las posibles causas de esas faltas. Para ello, se creará una aplicación en .NET desde la que gestionarán los cierres que falten por realizar en una jornada indicando cuál ha sido el motivo. Después se analizarán estos datos a través de la herramienta de Business Objects de SAP creando un Cuadro de Mando.
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Background: Development of three classification trees (CT) based on the CART (Classification and Regression Trees), CHAID (Chi-Square Automatic Interaction Detection) and C4.5 methodologies for the calculation of probability of hospital mortality; the comparison of the results with the APACHE II, SAPS II and MPM II-24 scores, and with a model based on multiple logistic regression (LR). Methods: Retrospective study of 2864 patients. Random partition (70:30) into a Development Set (DS) n = 1808 and Validation Set (VS) n = 808. Their properties of discrimination are compared with the ROC curve (AUC CI 95%), Percent of correct classification (PCC CI 95%); and the calibration with the Calibration Curve and the Standardized Mortality Ratio (SMR CI 95%). Results: CTs are produced with a different selection of variables and decision rules: CART (5 variables and 8 decision rules), CHAID (7 variables and 15 rules) and C4.5 (6 variables and 10 rules). The common variables were: inotropic therapy, Glasgow, age, (A-a)O2 gradient and antecedent of chronic illness. In VS: all the models achieved acceptable discrimination with AUC above 0.7. CT: CART (0.75(0.71-0.81)), CHAID (0.76(0.72-0.79)) and C4.5 (0.76(0.73-0.80)). PCC: CART (72(69- 75)), CHAID (72(69-75)) and C4.5 (76(73-79)). Calibration (SMR) better in the CT: CART (1.04(0.95-1.31)), CHAID (1.06(0.97-1.15) and C4.5 (1.08(0.98-1.16)). Conclusion: With different methodologies of CTs, trees are generated with different selection of variables and decision rules. The CTs are easy to interpret, and they stratify the risk of hospital mortality. The CTs should be taken into account for the classification of the prognosis of critically ill patients.
Resumo:
Background: The main objectives of this study are to describe the smoked cocaine user's profile in socially-depressed areas and their needs from a harm-reduction perspective, to investigate their use of smoking crack and compare the acute effects between injecting and smoking consumption. Methods: The study took place in SAPS, Barcelona, Spain. Two focus group sessions were undertaken with a total of 8 drug users. Secondly, the 8 participants answered a structured questionnaire and in the course of the sessions, as a snowball activity, were trained to survey 6 other crack smokers. Results: We obtained 56 questionnaires. The majority of participants were from non-European Community countries (62.69%), 70.2% of participants referred to sharing the smoking equipment. The most frequent symptoms reported during smoked cocaine were mydriasis (83.33%)), perspiration (72.92%) and compulsive object search (70.83%) During the group sessions, participants said that smoked cocaine is much more addictive than injected cocaine and causes more anxiety. Participants also reported the difficulty of changing from injected use to smoked use, due to the larger amount of cocaine needed to reach the same effects as when having injected. Conclusions We can conclude that the research, focused on achieving greater knowledge of the smoked cocaine user's profile, their usage of smoking crack, consumption patterns and acute effects, should be incorporated into substance misuse interventions.