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Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
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Nikolaos Stasinos, Anestis Kousis, Vangelis Sarlis, Aristeidis Mystakidis, Dimitris Rousidis, Paraskevas Koukaras, Ioannis Kotsiopoulos and Christos Tjortjis
The impact of COVID-19 and the pressure it exerts on health systems worldwide motivated this study, which focuses on the case of Greece. We aim to assist decision makers as well as health professionals, by estimating the short to medium term needs in Int...
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Alireza Tavakolian, Alireza Rezaee, Farshid Hajati and Shahadat Uddin
Hospital readmission and length-of-stay predictions provide information on how to manage hospital bed capacity and the number of required staff, especially during pandemics. We present a hybrid deep model called the Genetic Algorithm-Optimized Convolutio...
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Mirela Tiglis, Ileana Peride, Iulia Alexandra Florea, Andrei Niculae, Lucian Cristian Petcu, Tiberiu Paul Neagu, Ionel Alexandru Checherita and Ioana Marina Grintescu
Objectives. Population-based studies regarding renal replacement therapy (RRT) used in critical care populations are useful to understand the trend and impact of medical care interventions. We describe the use of RRT and associated outcomes (mortality an...
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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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Elpidio Romano, Andrea Falegnami, Anna Corinna Cagliano and Carlo Rafele
Healthcare facilities require flexible layouts that can adapt quickly in the face of various disruptions. COVID-19 confirmed this need for both healthcare and manufacturing systems. Starting with the transfer of decision support systems from manufacturin...
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Negar Orangi-Fard, Alireza Akhbardeh and Hersh Sagreiya
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for Intens...
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Gowthaman Sivakumar, Eman Almehdawe and Golam Kabir
The COVID-19 pandemic has significantly impacted almost every sector. This impact has been especially felt in the healthcare sector, as the pandemic has affected its stability, which has highlighted the need for improvements in service. As such, we propo...
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Martin Platten, Albert Nienhaus, Claudia Peters, Rita Cranen, Hilmar Wisplinghoff, Jan Felix Kersten, Alexander Daniel Bach and Guido Michels
Health workers (HW) are at increased risk for SARS-CoV-2 infection. In order to monitor the infection dynamic on the basis of contact with patients, HW at the St. Antonius Hospital (SAH) were tested four times in one year by PCR and serology. The cumulat...
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Abdulaziz Alqahtani, Edrous Alamer, Mushtaq Mir, Ali Alasmari, Mohammed Merae Alshahrani, Mohammed Asiri, Irfan Ahmad, Abdulaziz Alhazmi and Abdullah Algaissi
Coronavirus disease 19 (COVID-19) is an ongoing global pandemic that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The severity and mortality rates of COVID-19 are affected by several factors, such as respiratory diseases, di...
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