Artículos de conferencia

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Browsing Artículos de conferencia by browse.metadata.fuente "Historial Académico"

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    Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping
    (2019) Rojas, Eric; Capurro Nario, Daniel Alejandro
    Understanding and identifying executed patterns, activitiesand processes for patients of different characteristics provides medicalexperts a deep understanding of which tasks are critical in the providedcare, and may help identify ways to improve them. However, extractingthese events and data for patients with complex clinical phenotypes isnot a trivial task. This paper provides an approach to identifying specificpatient cohorts based on complex digital phenotypes as a starting pointto apply process mining tools and techniques and identify patterns orprocess models. Using temporal abstraction-based digital phenotypingand pattern matching, we identified a cohort of patients with sepsis fromthe MIMIC II database, and then apply process mining techniques todiscover medication use patterns. In the case study we present, the useof temporal abstraction digital phenotyping helped us discover a relevantpatient cohort, aiding in the extraction of the data required to generatedrug use patterns for medications of different types such as vasopressors,vasodilators and systemic antibacterial antibiotics. For sepsis patients,combining the use of temporal abstraction digital phenotyping and process mining tools and techniques, was proven to help extract accuratecohorts of patients for health care process mining.
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    Hepatic fatty acid profile in mice with nonalcoholic fatty liver disease using magnetic resonance spectroscopy
    (2019) Xavier, Aline Carvalho da Silva; Zacconi, Flavia C. M.; Cabrera García, Daniel Alejandro; Fuenzalida, Karen; Andía Kohnenkampf, Marcelo Edgardo
    Nonalcoholic fatty liver disease (NAFLD) is characterized by the accumulation of intracellular fatty acids in the liver. The only method to confirm the stage of this disease is the biopsy, but it is invasive and risky to patients. The idea of defining a classifier using magnetic resonance spectroscopy (MRS) emerges due to the need to find a way to replace biopsy with a non-invasive method that can classify NAFLD based on the chemical structure of fatty acids stored in the liver. The purpose of this study is to investigate and compare the composition of fatty acids to the metabolites signals in MRS in NAFLD mice liver at 2 time-point during the progression of the disease. A group of C57BL/6 mice was fed with high-fat diet for one month (N = 8) and for three months (N = 6). First, we made a histological analysis to the liver. Then, we analysed the fatty acids with gas chromatography (GC) and MRS. As a result, the histological analysis showed the progression of fat content, and the GC analysis detected a different fatty acid liver composition during the progression of NAFLD along with an increase of the total fat storage in the liver. The differences in the composition fatty acids are also reflected in the MR Spectrum, which could have clinical potential for monitoring the progression of this disease with a non-invasive technique.
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    Nearshore bathymetric inversion from video using a fully non-linear Boussinesq wave model
    (2011) Cienfuegos Carrasco, Rodrigo Alberto; Almar, R.; Birrien, F.; Castelle, B.; Catalán, P.; Michallet, H.
    This paper presents a new depth inversion methodology from video imagery. The strength of the method is the use of a fully non-linear Boussinesq wave model in combination with a very complete video-derived laboratory wave observation that includes period, celerity and wave height. Compared to the previous use of wave dispersion formulas, here the better description of wave dynamics substantially improves bathymetry estimation. For the considered laboratory case, error on bathymetry is as small as 8 % whereas other formulations, shallow water or non-linear derived solution can only attain 24 % and 14 %, respectively. More in-depth analysis on the error shows a fair sensitivity on video-derived breaker height and describes the large contribution of non-linearities. The recent possibility of using Serre's dispersion relation in combination with video-derived wave height provides a reasonable performance and should be further envisaged for one-dimensional depth inversion. Future extensions of this work involve the use of a two-dimensional Boussinesq model to include more hydrodynamics processes such as wave-driven circulation over three-dimensional surfzone sandbars.
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    Students’ adoption and learning outcomes in a MOOC-based flipped course
    (2019) Hernandez Correa Josefina Maria; Hilliger Carrasco Isabel; Pertuze Salas Julio Alberto; Perez Sanagustin Maria Del Mar