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Predicting in-Hospital Mortality of Patients with COVID-19 Using Machine Learning Techniques

Fabiana Tezza, Giulia Lorenzoni, Danila Azzolina, Sofia Barbar, Lucia Anna Carmela Leone, Dario Gregori
2021 Journal of Personalized Medicine  
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

Agbelusi Olutola, Olayemi Olufunke C
2020 International journal of computer science and software engineering  
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

Tawsifur Rahman, Fajer A. Al-Ishaq, Fatima S. Al-Mohannadi, Reem S. Mubarak, Maryam H. Al-Hitmi, Khandaker Reajul Islam, Amith Khandakar, Ali Ait Hssain, Somaya Al-Madeed, Susu M. Zughaier, Muhammad E. H. Chowdhury
2021 Diagnostics  
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

Dhamodharavadhani S., R. Rathipriya
2021 Journal of Cases on Information Technology  
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

Krishnaraj Chadaga, Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India., Srikanth Prabhu, Shashikiran Umakanth, Vivekananda Bhat K, Niranjana Sampathila, Rajagopala Chadaga P, Krishna Prakasha K, Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India., Department of Medicine, Dr. TMA Pai Hospital, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India., Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India., Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India. (+2 others)
2021 Engineered Science  
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

Sonu Subudhi, Ashish Verma, Ankit B Patel, C Corey Hardin, Melin J Khandekar, Hang Lee, Dustin McEvoy, Triantafyllos Stylianopoulos, Lance L Munn, Sayon Dutta, Rakesh K Jain
2021 npj Digital Medicine  
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]

Quazi Adibur Rahman Adib, Sidratul Tanzila Tasmi, Md. Shahriar Islam Bhuiyan, Md. Mohsin Sarker Raihan, Abdullah Bin Shams
2021 arXiv   pre-print
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

Ocean Monjur, Rahat Bin Preo, Abdullah Bin Shams, Md. Mohsin Sarker Raihan, Fariha Fairoz
2021 BioMed  
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

Awishkar Ghimire, Surendrabikram Thapa, Avinash Kumar Jha, Amit Kumar, Arunish Kumar, Surabhi Adhikari
2020 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)  
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

Pratiyush Guleria, Shakeel Ahmed, Abdulaziz Alhumam, Parvathaneni Naga Srinivasu
2022 Healthcare  
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

Mohammad Pourhomayoun, Mahdi Shakibi
2021 Smart Health  
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

Gergo Pinter, Imre Felde, Amir Mosavi, Pedram Ghamisi, Richard Gloaguen
2020 Mathematics  
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

S Dhamodharavadhani, R Rathipriya
2021 African Health Sciences  
-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]

ASHIS DAS, Shiba Mishra, Saji Saraswathy Gopalan
2020 medRxiv   pre-print
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]

Piyush Mathur, Tavpritesh Sethi, Anya Mathur, Ashish Kumar Khanna, Kamal Maheshwari, Jacek B Cywinski, Simran Dua, Frank Papay
2020 medRxiv   pre-print
-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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