Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: A scoping review
Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep
learning (MDL) methods have been proposed in the literature to analyze patient …
learning (MDL) methods have been proposed in the literature to analyze patient …
Hospital load and increased COVID-19 related mortality in Israel
The spread of Coronavirus disease 19 (COVID-19) has led to many healthcare systems
being overwhelmed by the rapid emergence of new cases. Here, we study the ramifications …
being overwhelmed by the rapid emergence of new cases. Here, we study the ramifications …
[HTML][HTML] Machine learning model for predicting the length of stay in the intensive care unit for COVID-19 patients in the eastern province of Saudi Arabia
The COVID-19 virus has spread rapidally throughout the world. Managing resources is one
of the biggest challenges that healthcare providers around the world face during the …
of the biggest challenges that healthcare providers around the world face during the …
Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England
Background Predicting bed occupancy for hospitalised patients with COVID-19 requires
understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the …
understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the …
Identification of variable importance for predictions of mortality from COVID-19 using AI models for Ontario, Canada
The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical
systems to the brink of collapse around the globe. In this paper, logistic regression and three …
systems to the brink of collapse around the globe. In this paper, logistic regression and three …
[HTML][HTML] Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy
This paper introduces mathematical models that support dynamic fair balancing of COVID-
19 patients over hospitals in a region and across regions. Patient flow is captured in an …
19 patients over hospitals in a region and across regions. Patient flow is captured in an …
Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022
G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …
and manage the virus impact. Scientists and researchers have been strongly involved in …
A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong
Background Accurately estimating elderly patients' rehospitalisation risk benefits clinical
decisions and service planning. However, research in rehospitalisation and repeated …
decisions and service planning. However, research in rehospitalisation and repeated …