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Predicting in-Hospital Mortality of Patients with COVID-19 Using Machine Learning Techniques
2021
Journal of Personalized Medicine
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The present work provides insights for the prediction of in-hospital mortality of COVID-19 patients using a machine-learning algorithm. ...
The present work aims to identify the predictors of COVID-19 in-hospital mortality testing a set of Machine Learning Techniques (MLTs), comparing their ability to predict the outcome of interest. ...
Forest is a feasible machine-learning algorithm to stratify the mortality risk in a sample of patients admitted to a COVID-19 referral center in the Veneto region, Italy, during the first COVID-19 wave ...
doi:10.3390/jpm11050343
pmid:33923332
fatcat:3lg5wtn2fbbejdguavztvobabe
Prediction of Mortality Rate of COVID-19 Patients using Machine Learning Techniques in Nigeria
2020
International journal of computer science and software engineering
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In this paper, predictive model for the mortality rate of patients infected with corona virus in Nigeria using data mining techniques is developed. ...
A ten fold cross validation technique was used to partition the datasets into training and testing data in which predictive models were developed using data mining algorithms (Multilayer Perception, Naïve ...
Hamzaha et al (2020) developed predictive modelling for the purpose of predicting COVID-19, mortality and morbidity and their likely recoveries. ...
doi:10.47277/ijcsse/9(5)1
fatcat:r3i7cyufr5fw5hdmfdskgon7li
Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique
2021
Diagnostics
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The key parameters to predict the risk of mortality for COVID-19 and non-COVID-19 patients were identified and a nomogram-based scoring technique was developed using the top-ranked five parameters. ...
Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. ...
Machine learning was also used to predict mortality and critical events in patients with COVID-19. Rahman et al. ...
doi:10.3390/diagnostics11091582
pmid:34573923
pmcid:PMC8469072
fatcat:6a6udwtzpfdu7fvwriqwkn4yue
Novel COVID-19 Mortality Rate Prediction (MRP) Model for India Using Regression Model With Optimized Hyperparameter
2021
Journal of Cases on Information Technology
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The main objective of this study is to estimate the future COVID-19 mortality rate for India using COVID-19 mortality rate models from different countries. ...
In this paper, the Gaussian process regression model with the optimal hyperparameter is used to develop the COVID-19 mortality rate prediction (MRP) model. ...
Machine learning techniques also can be used to develop standard mortality models. Deprez et al. (2017) , used machine learning algorithms to fit and assess the mortality model. ...
doi:10.4018/jcit.20211001.oa1
fatcat:q5m346xr6fdorcxq2od3pxx2na
COVID-19 Mortality Prediction among Patients using Epidemiological parameters: An Ensemble Machine Learning Approach
2021
Engineered Science
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Machine learning (ML) has shown to be useful in battling COVID-19 and various applications have been deployed to comprehend real-world events through the meticulous analysis of data. ...
Supervised ensemble machine learning models were developed that included random forest, catboost, adaboost, gradient boost, extreme gradient boosting and light GBM (Gradient Boosting Machine) for the COVID ...
A Decision support system using ML for early prediction of COVID-19 mortality was developed. ...
doi:10.30919/es8d579
fatcat:67nr3gtldfgjpaox4sizldo3ky
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
2021
npj Digital Medicine
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This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients. ...
As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. ...
Thus far there have been few studies that examined specific machine learning algorithms in predicting outcomes such as ICU admission/mortality in COVID-19 patients [11] [12] [13] [14] [15] . ...
doi:10.1038/s41746-021-00456-x
pmid:34021235
fatcat:lv7duxjbczcudofur2g6royw4e
Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19
[article]
2021
arXiv
pre-print
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The machine learning models that have been used in our study are support vector machine, decision tree, random forest, gradient boosting, and artificial neural network. ...
COVID-19 pandemic is an ongoing global pandemic which has caused unprecedented disruptions in the public health sector and global economy. ...
CONCLUSION In this study, our main objective was to build a machine learning based predictive model for mortality prediction of pregnant women affected with COVID. ...
arXiv:2111.11477v1
fatcat:kmsvbv4hfrgftp4zkv7hlqwlra
COVID-19 Prognosis and Mortality Risk Predictions from Symptoms: A Cloud-Based Smartphone Application
2021
BioMed
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In this paper, we propose a cloud-based smartphone application for the early prognosis of COVID-19 infected patients and also predict their mortality risk using their symptoms. ...
The application makes the real-time analysis using machine learning models, designed and stored in the cloud. ...
Depending on whether the user wants to predict the mortality or the COVID-19 status, the corresponding machine learning model will be used in the cloud. The entire procedure happens in real-time. ...
doi:10.3390/biomed1020011
fatcat:f63llcwoergt3c4kplronlcwse
AI and IoT Solutions for Tackling COVID-19 Pandemic
2020
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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The di fferent applications include diagnosis, mortality rate pre dic tion, vaccine de velopment, dr ug de velopme nt, sentiment analysis regarding COVID-19 comments and misinformation detection. ...
The internet speciall y google scholar scoured for relevant and accurate applications of machine learning and deep learning in sol vi ng the issues of this pandemic. ...
Mortality Rate Prediction Machine learning techniques have been used to predict the mortality rate for patients of various diseases as early as the 1990s [9] . ...
doi:10.1109/iceca49313.2020.9297454
fatcat:ylfftyid4rcglgsf4kl5nkmevy
Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States
2022
Healthcare
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Machine Learning techniques help mine data to better estimate and predict the COVID-19 infection status. ...
A Fine-tuned Ensemble Classification approach for predicting the death and cure rates of patients from infection using Machine Learning techniques has been proposed for different states of India. ...
This study is a systematic review of COVID-19 using Machine Learning and Deep Learning techniques [45] and a study that has elevated the limitations associated with COVID-19 prediction. ...
doi:10.3390/healthcare10010085
pmid:35052249
pmcid:PMC8775063
fatcat:xqp2difa7vgd3nzmdtyj5wtehi
Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making
2021
Smart Health
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risk and predict the mortality risk of patients with COVID-19. ...
In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and developed a predictive model based on Artificial Intelligence (AI) and Machine Learning algorithms to determine the health ...
Table 2 demonstrates the prediction accuracy for predicting mortality in patients with COVID-19 using 10-fold crossvalidation for various machine learning algorithms. ...
doi:10.1016/j.smhl.2020.100178
pmid:33521226
pmcid:PMC7832156
fatcat:g4aojg6mjnaazhkqkw37urryey
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
2020
Mathematics
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As an alternative to the susceptible-infected-resistant (SIR)-based models, this study proposes a hybrid machine learning approach to predict the COVID-19, and we exemplify its potential using data from ...
Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak. ...
Nevertheless, there is a gap in using machine learning in the case of COVID-19. ...
doi:10.3390/math8060890
fatcat:rxaucgk2xbaytesdzf6nu47kri
COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model
2021
African Health Sciences
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-19 Mortality Rate Prediction (MRP) model for India. ...
Keywords: Covid-19; India; mortality rate; mortality prediction; regression model; hyperparameter tuning; GPR; GRNN; RBFNN. ...
Machine Learning (ML) techniques also can be used to develop standard mortality models. ...
doi:10.4314/ahs.v21i1.26
pmid:34394298
pmcid:PMC8356626
fatcat:nzfrvad6mjf5pcjxarlzllxaca
Predicting community mortality risk due to CoVID-19 using machine learning and development of a prediction tool
[article]
2020
medRxiv
pre-print
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Objectives: To predict mortality among confirmed CoVID-19 patients in South Korea using machine learning and deploy the best performing algorithm as an open-source online prediction tool for decision-making ...
The recent pandemic of CoVID-19 has emerged as a threat to global health security. There are a very few prognostic models on CoVID-19 using machine learning. ...
Predictive Analysis We applied machine learning algorithms to predict mortality among CoVID-19 confirmed cases. ...
doi:10.1101/2020.04.27.20081794
fatcat:rb35shymuvhnpnwdvp2yuq7rpi
Explainable machine learning models to understand determinants of COVID-19 mortality in the United States
[article]
2020
medRxiv
pre-print
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-19 mortality.The dataset was compiled using 20 variables for each of the fifty states in the United States.We subsequently developed two independent machine learning models using Catboost regression and ...
COVID-19 mortality is now the leading cause of death per day in the United States,ranking higher than heart disease and cancer.Multiple projection models have been built and used to understand the prevalence ...
feature importance to identify the same while our model was developed to predict COVID-19 mortality in the US.Importance of the features for prediction of mortality is calculated via two machine learning ...
doi:10.1101/2020.05.23.20110189
fatcat:6aq5mzdvyvd5lch23jdgolhysu
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