4 research outputs found
Modelo para predecir la cantidad de graduados de Ingeniería de UTN aplicando técnicas de minería de datos
Desde la década del 60, la población mundial ha crecido en forma exponencial, este crecimiento ha generado problemas en sistemas energéticos, sanitarios, telecomunicaciones, infraestructura, etc.
La ingeniería cumple un factor fundamental para el desarrollo económico y el bienestar social de un país. En el ámbito de la República Argentina, será necesario contar, entre otros, con una mayor cantidad de graduados en carreras de ingeniería para incrementar el desarrollo industrial, la innovación productiva y la expansión económica.
En nuestro país, la Universidad Tecnológica Nacional (UTN) aporta el 42,75% de los ingenieros, por lo que esta cifra la posiciona como una de las principales Universidades formadora de ingenieros de Argentina.
El propósito del proyecto consiste en la elaboración de un modelo que permita, por un lado, predecir la cantidad de graduados de carreras de ingeniería en el ámbito de la UTN, y por otro lado, que este mismo modelo permita identificar cuáles son los patrones que determinarán la graduación de estudiantes de ingeniería en un plazo promedio de 8 años.
Los resultados de este proyecto representarán un aporte para la gestión académica en lo respecta a la planificación, seguimiento y control de las cohortes de los estudiantes de carreras de ingeniería.Eje: Bases de datos y Minería de datos.Red de Universidades con Carreras en Informática (RedUNCI
Lung Function and Organ Dysfunctions in 178 Patients Requiring Mechanical Ventilation During The 2009 Influenza A (H1N1) Pandemic
Add-on inhaled budesonide in the treatment of hospitalised patients with COVID-19 : a randomised clinical trial
SARS-CoV-2 vaccines have been extremely effective to reduce the incidence of severe COVID19 [1-3], but effective and safe treatments of the acute infection are still limited [4, 5]. An uncontrolled pulmonary inflammatory response to SARS-CoV-2 is considered a key pathogenic mechanism of COVID19 progression [6], so systemic dexamethasone is recommended in severe cases [5, 7]. On the other hand, in very mild patients at home inhaled corticosteroids (ICS) may prevent disease progression [8-11]. Whether ICS prevent disease progression too in patients hospitalised because of COVID19 has not been explored before. Accordingly, we designed an investigator-initiated, open-label, randomised clinical trial (RCT) to explore the efficacy of adding inhaled budesonide to usual care to prevent disease progression in patients hospitalised because of COVID19 pneumonia. We also monitored carefully the safety of this intervention since there are concerns about the use of systemic corticosteroids in other viral (influenza) lung infections [12]
Evolution over Time of Ventilatory Management and Outcome of Patients with Neurologic Disease∗
OBJECTIVES: To describe the changes in ventilator management over time in patients with neurologic disease at ICU admission and to estimate factors associated with 28-day hospital mortality. DESIGN: Secondary analysis of three prospective, observational, multicenter studies. SETTING: Cohort studies conducted in 2004, 2010, and 2016. PATIENTS: Adult patients who received mechanical ventilation for more than 12 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among the 20,929 patients enrolled, we included 4,152 (20%) mechanically ventilated patients due to different neurologic diseases. Hemorrhagic stroke and brain trauma were the most common pathologies associated with the need for mechanical ventilation. Although volume-cycled ventilation remained the preferred ventilation mode, there was a significant (p < 0.001) increment in the use of pressure support ventilation. The proportion of patients receiving a protective lung ventilation strategy was increased over time: 47% in 2004, 63% in 2010, and 65% in 2016 (p < 0.001), as well as the duration of protective ventilation strategies: 406 days per 1,000 mechanical ventilation days in 2004, 523 days per 1,000 mechanical ventilation days in 2010, and 585 days per 1,000 mechanical ventilation days in 2016 (p < 0.001). There were no differences in the length of stay in the ICU, mortality in the ICU, and mortality in hospital from 2004 to 2016. Independent risk factors for 28-day mortality were age greater than 75 years, Simplified Acute Physiology Score II greater than 50, the occurrence of organ dysfunction within first 48 hours after brain injury, and specific neurologic diseases such as hemorrhagic stroke, ischemic stroke, and brain trauma. CONCLUSIONS: More lung-protective ventilatory strategies have been implemented over years in neurologic patients with no effect on pulmonary complications or on survival. We found several prognostic factors on mortality such as advanced age, the severity of the disease, organ dysfunctions, and the etiology of neurologic disease