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Massimiliano Greco, Pier Francesco Caruso, Sofia Spano, Gianluigi Citterio, Antonio Desai, Alberto Molteni, Romina Aceto, Elena Costantini, Antonio Voza and Maurizio Cecconi
Background: Sepsis is one of the major causes of in-hospital death, and is frequent in patients presenting to the emergency department (ED). Early identification of high-risk septic patients is critical. Machine learning (ML) techniques have been propose...
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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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Sjoerd Stevens, Paul Hendrickx, Tim Snijders, Ivo Lambrichts, Björn Stessel, Jasperina Dubois, Luc J. C. van Loon, Frank Vandenabeele and Anouk Agten
Many critically ill patients infected with SARS-CoV-2 have been submitted to an intensive care unit (ICU). Patients with a SARS-CoV-2 infection that survive critical illness are confronted with months of physical impairments. To maximize recovery, it is ...
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Nobuhiro Hayashi, Yoshihide Sawada, Kei Ujimoto, Syunta Yamaguchi, Yoshikuni Sato, Takahiro Miki, Toru Nakada and Toshiaki Iba
An accuracy of =98% was achieved in sepsis diagnosis using serum samples from 30 sepsis patients and 68 healthy individuals and a high-performance two-dimensional polyacrylamide gel electrophoresis (HP-2D-PAGE) method developed here with deep learning an...
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Fabio Tarricone, Antonio Brunetti, Domenico Buongiorno, Nicola Altini, Vitoantonio Bevilacqua, Antonio Del Vecchio and Flavia Petrillo
Neonatal sepsis is a critical pathology that particularly affects the neonates in intensive care, especially if they are preterm and low birth weight, with an incidence varying between 1and 40% according to the onset (early or late) of the disease. Promp...
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Mahanazuddin Syed, Shorabuddin Syed, Kevin Sexton, Hafsa Bareen Syeda, Maryam Garza, Meredith Zozus, Farhanuddin Syed, Salma Begum, Abdullah Usama Syed, Joseph Sanford and Fred Prior
Modern Intensive Care Units (ICUs) provide continuous monitoring of critically ill patients susceptible to many complications affecting morbidity and mortality. ICU settings require a high staff-to-patient ratio and generates a sheer volume of data. For ...
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Lorena Oteiza, Antonio Ferruelo, Nicolás Nín, Mario Arenillas, Marta de Paula, Rachele Pandolfi, Laura Moreno, Raquel Herrero, Paloma González-Rodríguez, Óscar Peñuelas, Francisco Pérez-Vizcaíno and José A. Lorente
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Willard N. Applefeld, Jeffrey Wang, Steven B. Solomon, Junfeng Sun, Harvey G. Klein and Charles Natanson
We have performed a series of studies over the course of a decade with a large animal model of shock and meta-analysis techniques to study transfusion trials. Although clinical trials have established the safety of the current practice of transfusing 18-...
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Terrence C. Lee, Neil U. Shah, Alyssa Haack and Sally L. Baxter
Predictive analytics using electronic health record (EHR) data have rapidly advanced over the last decade. While model performance metrics have improved considerably, best practices for implementing predictive models into clinical settings for point-of-c...
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Elisa J. Sarmiento, Justin Xavier Moore, Leslie A. McClure, Russell Griffin, Mohammad Z. Al-Hamdan and Henry E. Wang
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