Ensemble learning model for diagnosing COVID-19 from routine blood tests
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TLDR
The proposed ERLX is robust and can be deployed for reliable early and rapid screening of COVID-19 patients and revealed better performance when compared against existing state-of-the-art studies for the same set of features employed by them.About:
This article is published in Informatics in Medicine Unlocked.The article was published on 2020-01-01 and is currently open access. It has received 73 citations till now.read more
Citations
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Journal ArticleDOI
Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review.
Norah Alballa,Isra Al-Turaiki +1 more
TL;DR: A review of recent reports on ML algorithms used in relation to COVID-19 can be found in this paper, where the authors focus on the potential of ML for two main applications: diagnosis of COVID19 and prediction of mortality risk and severity, using readily available clinical and laboratory data.
Journal ArticleDOI
Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development.
Sakifa Aktar,Martuza Ahamad,Rashed-Al-Mahfuz,Akm Azad,Shahadat Uddin,A. H. M. Kamal,Salem A. Alyami,Ping-I Lin,Sheikh Mohammed Shariful Islam,Julian M.W. Quinn,Valsamma Eapen,Mohammad Ali Moni,Mohammad Ali Moni +12 more
TL;DR: In this article, Wang et al. investigated how data from the peripheral blood of patients with COVID-19 can be used to predict clinical outcomes and developed a number of analytical methods that showed accuracy and precision scores >90% for disease severity prediction.
Journal ArticleDOI
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
Sakifa Aktar,Md. Martuza Ahamad,Rashed-Al-Mahfuz,Akm Azad,Shahadat Uddin,A. H. M. Kamal,Salem A. Alyami,Ping-I Lin,Sheikh Mohammed Shariful Islam,Julian M.W. Quinn,Valsamma Eapen,Mohammad Ali Moni +11 more
TL;DR: A number of analytic methods that showed accuracy and precision for disease severity and mortality outcome predictions that were above 90% could be utilised to identify, COVID-19 patients at high risk of mortality and so enable their treatment to be optimised.
Journal ArticleDOI
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
Carmela Comito,Clara Pizzuti +1 more
TL;DR: A comprehensive review of methods, algorithms, applications, and emerging AI technologies that can be utilized for forecasting and diagnosing COVID-19 can be found in this paper , where the authors provide a detailed analysis of the rationale behind the approach, highlighting the method used, the type and size of data analyzed, the validation method, the target application and the results achieved.
Journal ArticleDOI
COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal.
Francesca Bottino,Emanuela Tagliente,Luca Pasquini,Alberto Di Napoli,Martina Lucignani,Lorenzo Figà-Talamanca,Antonio Napolitano +6 more
TL;DR: In this article, a review of machine learning-based methods for predicting the outcome of coronavirus disease (COVID) patients is presented, focusing on the studies that implemented machine learning, including deep learning, methods in COVID mortality prediction.
References
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