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 …
[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …
and manage the virus, and hopefully curb it completely. One important line of research is the …
Impact of age and sex on COVID-19 severity assessed from radiologic and clinical findings
Y Statsenko, F Al Zahmi, T Habuza… - Frontiers in cellular …, 2022 - frontiersin.org
Background Data on the epidemiological characteristics and clinical features of COVID-19 in
patients of different ages and sex are limited. Existing studies have mainly focused on the …
patients of different ages and sex are limited. Existing studies have mainly focused on the …
Elevated vascular transformation blood biomarkers in Long-COVID indicate angiogenesis as a key pathophysiological mechanism
Background Long-COVID is characterized by prolonged, diffuse symptoms months after
acute COVID-19. Accurate diagnosis and targeted therapies for Long-COVID are lacking …
acute COVID-19. Accurate diagnosis and targeted therapies for Long-COVID are lacking …
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
From predictions to prescriptions: A data-driven response to COVID-19
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained
healthcare providers make difficult decisions on patient triage, treatment and care …
healthcare providers make difficult decisions on patient triage, treatment and care …
Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study
Z Fang, S Yang, C Lv, S An, W Wu - BMJ open, 2022 - bmjopen.bmj.com
Objective The COVID-19 outbreak was first reported in Wuhan, China, and has been
acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of …
acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of …
Controlling epidemic spread: Reducing economic losses with targeted closures
Data on population movements can be helpful in designing targeted policy responses to
curb epidemic spread. However, it is not clear how to exactly leverage such data and how …
curb epidemic spread. However, it is not clear how to exactly leverage such data and how …