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 …
Potential applications and performance of machine learning techniques and algorithms in clinical practice: a systematic review
EM Nwanosike, BR Conway, HA Merchant… - International journal of …, 2022 - Elsevier
Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
As predicting the trajectory of COVID-19 is challenging, machine learning models could
assist physicians in identifying high-risk individuals. This study compares the performance of …
assist physicians in identifying high-risk individuals. This study compares the performance of …
Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?
A de Fátima Cobre, DP Stremel, GR Noleto… - Computers in biology …, 2021 - Elsevier
Objective This study aimed to implement and evaluate machine learning based-models to
predict COVID-19'diagnosis and disease severity. Methods COVID-19 test samples (positive …
predict COVID-19'diagnosis and disease severity. Methods COVID-19 test samples (positive …
Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational …
MT Huyut, H Üstündağ - Medical gas research, 2022 - journals.lww.com
Abstract The coronavirus disease 2019 (COVID-19) epidemic went down in history as a
pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the …
pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the …
A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19
I Bendavid, L Statlender, L Shvartser, S Teppler… - Scientific Reports, 2022 - nature.com
In hypoxemic patients at risk for developing respiratory failure, the decision to initiate
invasive mechanical ventilation (IMV) may be extremely difficult, even more so among …
invasive mechanical ventilation (IMV) may be extremely difficult, even more so among …
A comparison of XGBoost, random forest, and nomograph for the prediction of disease severity in patients with COVID-19 pneumonia: implications of cytokine and …
W Hong, X Zhou, S Jin, Y Lu, J Pan, Q Lin… - Frontiers in Cellular …, 2022 - frontiersin.org
Background and Aims The aim of this study was to apply machine learning models and a
nomogram to differentiate critically ill from non-critically ill COVID-19 pneumonia patients …
nomogram to differentiate critically ill from non-critically ill COVID-19 pneumonia patients …
Prediction models for severe manifestations and mortality due to COVID‐19: A systematic review
JL Miller, M Tada, M Goto, H Chen… - Academic …, 2022 - Wiley Online Library
Background Throughout 2020, the coronavirus disease 2019 (COVID‐19) has become a
threat to public health on national and global level. There has been an immediate need for …
threat to public health on national and global level. There has been an immediate need for …
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
KM Kuo, PC Talley, CS Chang - International journal of medical informatics, 2022 - Elsevier
Objective COVID-19 is a novel, severely contagious disease with enormous negative impact
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …
on humanity as well as the world economy. An expeditious, feasible tool for detecting COVID …