PREDICTOR

Projecte realitzat mitjançant programa de mobilitat. University of Abeerden. Single honours Erasmus Computing ProjectIntensive Care Units (ICUs) are sections within hospitals which look after patients who are critically ill, or unstable, and require intensive treatment and monitoring to help restore them to more normal physiological ranges. Further, the ICU at Glasgow Royal Infirmary has developed a scoring system based on the severity of the patient's illness. This scoring system has 5 levels of severity: A to E (A means that the patient is ready to be discharged and E means that the patient is extremely ill). The clinicians and the analysts of Glasgow Royal Infirmary¿s ICU want to perform statistical studies on their patients¿ data and hourly scores using the available information produced by the ICU¿s patient management system. An additional program was needed to study the relationship between these scores and the other patient parameters. I-PREDICTOR, developed for my project, is a user-friendly tool, which offers the clinicians and the analysts the facility to read their datasets and apply a group of statistical functions to these. This document describes the process carried out to develop I-PREDICTOR, the evaluations carried out and possible future work

Jardins per a la salut

Facultat de Farmàcia, Universitat de Barcelona. Ensenyament: Grau de Farmàcia. Assignatura: Botànica farmacèutica. Curs: 2014-2015. Coordinadors: Joan Simon, Cèsar Blanché i Maria Bosch.Els materials que aquí es presenten són el recull de les fitxes botàniques de 128 espècies presents en el Jardí Ferran Soldevila de l’Edifici Històric de la UB. Els treballs han estat realitzats manera individual per part dels estudiants dels grups M-3 i T-1 de l’assignatura Botànica Farmacèutica durant els mesos de febrer a maig del curs 2014-15 com a resultat final del Projecte d’Innovació Docent «Jardins per a la salut: aprenentatge servei a Botànica farmacèutica» (codi 2014PID-UB/054). Tots els treballs s’han dut a terme a través de la plataforma de GoogleDocs i han estat tutoritzats pels professors de l’assignatura. L’objectiu principal de l’activitat ha estat fomentar l’aprenentatge autònom i col·laboratiu en Botànica farmacèutica. També s’ha pretès motivar els estudiants a través del retorn de part del seu esforç a la societat a través d’una experiència d’Aprenentatge-Servei, deixant disponible finalment el treball dels estudiants per a poder ser consultable a través d’una Web pública amb la possibilitat de poder-ho fer in-situ en el propi jardí mitjançant codis QR amb un smartphone

PREDICTOR

Projecte realitzat mitjançant programa de mobilitat. University of Abeerden. Single honours Erasmus Computing ProjectIntensive Care Units (ICUs) are sections within hospitals which look after patients who are critically ill, or unstable, and require intensive treatment and monitoring to help restore them to more normal physiological ranges. Further, the ICU at Glasgow Royal Infirmary has developed a scoring system based on the severity of the patient's illness. This scoring system has 5 levels of severity: A to E (A means that the patient is ready to be discharged and E means that the patient is extremely ill). The clinicians and the analysts of Glasgow Royal Infirmary¿s ICU want to perform statistical studies on their patients¿ data and hourly scores using the available information produced by the ICU¿s patient management system. An additional program was needed to study the relationship between these scores and the other patient parameters. I-PREDICTOR, developed for my project, is a user-friendly tool, which offers the clinicians and the analysts the facility to read their datasets and apply a group of statistical functions to these. This document describes the process carried out to develop I-PREDICTOR, the evaluations carried out and possible future work

PREDICTOR

Projecte realitzat mitjançant programa de mobilitat. University of Abeerden. Single honours Erasmus Computing ProjectIntensive Care Units (ICUs) are sections within hospitals which look after patients who are critically ill, or unstable, and require intensive treatment and monitoring to help restore them to more normal physiological ranges. Further, the ICU at Glasgow Royal Infirmary has developed a scoring system based on the severity of the patient's illness. This scoring system has 5 levels of severity: A to E (A means that the patient is ready to be discharged and E means that the patient is extremely ill). The clinicians and the analysts of Glasgow Royal Infirmary¿s ICU want to perform statistical studies on their patients¿ data and hourly scores using the available information produced by the ICU¿s patient management system. An additional program was needed to study the relationship between these scores and the other patient parameters. I-PREDICTOR, developed for my project, is a user-friendly tool, which offers the clinicians and the analysts the facility to read their datasets and apply a group of statistical functions to these. This document describes the process carried out to develop I-PREDICTOR, the evaluations carried out and possible future work