Published in Cirugia espanola
Technological and computer advances have led to a "new era" of Surgery called Digital Surgery. In it, the management of information is the key. The development of Artificial Intelligence requires "Big Data" to create its algorithms. The use of digital technology for the systematic capture of data from the surgical process raises ethical issues of p...
Published in Medicina intensiva
To establish a new machine learning-based method to adjust positive end-expiratory pressure (PEEP) using only already routinely measured data. Retrospective observational study. Intensive care unit (ICU). 51811 mechanically ventilated patients in multiple ICUs in the USA (data from MIMIC-III and eICU databases). No interventions. Success parameters...
Published in Gastroenterologia y hepatologia
Patients with chronic liver disease (CLD) often develop thrombocytopenia (TCP) as a complication. Severe TCP (platelet count
The purpose of this study is the utilization of a hierarchical model based on the capability to pay ratio, definite for the relation operative earnings with liability, for insolvency prediction, in the turbulent environment how Argentine`s economy, in the decade last. The applicate techniques for building the models are discriminant analysis and cl...
Published in Medicina intensiva
To determine if potential predictors for invasive mechanical ventilation (IMV) are also determinants for mortality in COVID-19-associated acute respiratory distress syndrome (C-ARDS). Single center highly detailed longitudinal observational study. Tertiary hospital ICU: two first COVID-19 pandemic waves, Madrid, Spain. 280 patients with C-ARDS, not...
This research focused on automating the understanding and semantic identification of findings for classification in internal audits using natural language processing techniques. Internal audit reports were analyzed to extract texts linked to non-conformities, strengths, and opportunities for improvement. To optimize text presentation for various al...
Information and communication technologies play a relevant role in different fields of knowledge. Currently, there is a greater capacity to identify patterns and anomalies in an organization's data using artificial intelligence; The study aimed to develop a classification model for student dropout by applying machine learning with the autoML method...
The emission of greenhouse gases, directly or indirectly attributed to human activity, is the main cause of global climate change. Among the gases emitted, carbon dioxide (CO2) is the most important contributor to the spatio-temporal variation of physical quantities such as relative humidity, atmospheric pressure, ambient temperature and, most sign...
This study addresses big data in market research, with the purpose of understanding how its ability to process large volumes of data can transform the business perspective towards understanding target markets. The central objective is to overcome conventional challenges in market research, providing organizations with a competitive advantage by lev...
In the aeronautical industry, JET A-1 hydrocarbon production costs experience an increase of approximately 5% weekly over the years, which has resulted in a rise in expenses for air operators. This research proposes to create a fuel consumption prediction model for regional flights, based on data collected from flights of a Colombian airline during...
