Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population.
Abhirup Banerjee,Surajit Ray,Bart Vorselaars,Joanne Kitson,Michail Mamalakis,Simonne Weeks,Mark Baker,Louise MacKenzie +7 more
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TLDR
Machine learning, an artificial neural network (ANN) and a simple statistical test are used to identify SARS-CoV-2 positive patients from full blood counts without knowledge of symptoms or history of the individuals to greatly improve initial screening for patients where PCR based diagnostic tools are limited.About:
This article is published in International Immunopharmacology.The article was published on 2020-06-16 and is currently open access. It has received 126 citations till now. The article focuses on the topics: Population & Receiver operating characteristic.read more
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Applications of artificial intelligence in battling against covid-19: A literature review.
TL;DR: An overview on the applications of AI in a variety of fields including diagnosis of the disease via different types of tests and symptoms, monitoring patients, identifying severity of a patient, processing covid-19 related imaging tests, epidemiology, pharmaceutical studies, etc.
Journal ArticleDOI
Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm.
TL;DR: The results show that the random forest machine learning algorithm performs well in estimating the number of cases for the near future in case of an epidemic like Novel Coronavirus, which outbreaks suddenly and spreads rapidly.
Journal ArticleDOI
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests.
Federico Cabitza,Andrea Campagner,Davide Ferrari,Chiara Di Resta,Daniele Ceriotti,Eleonora Sabetta,Alessandra Colombini,Elena De Vecchi,Giuseppe Banfi,Massimo Locatelli,Anna Carobene +10 more
TL;DR: ML can be applied to blood tests as both an adjunct and alternative method to rRT-PCR for the fast and cost-effective identification of COVID-19-positive patients in developing countries, or in countries facing an increase in contagions.
Journal ArticleDOI
Ensemble learning model for diagnosing COVID-19 from routine blood tests
TL;DR: 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.
Journal ArticleDOI
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.
TL;DR: In this paper, the authors analyze and discuss how AI can support us in facing the ongoing pandemic, and they propose a careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.
References
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Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
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SMOTE: synthetic minority over-sampling technique
TL;DR: In this article, a method of over-sampling the minority class involves creating synthetic minority class examples, which is evaluated using the area under the Receiver Operating Characteristic curve (AUC) and the ROC convex hull strategy.
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SMOTE: Synthetic Minority Over-sampling Technique
TL;DR: In this article, a method of over-sampling the minority class involves creating synthetic minority class examples, which is evaluated using the area under the Receiver Operating Characteristic curve (AUC) and the ROC convex hull strategy.
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Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China.
Chuan Qin,Luoqi Zhou,Ziwei Hu,Shuo-Qi Zhang,Sheng Yang,Yu Tao,Cuihong Xie,Ke Ma,Ke Shang,Wei Wang,Dai Shi Tian +10 more
TL;DR: Investigation of NLR and lymphocyte subsets is helpful in the early screening of critical illness, diagnosis and treatment of COVID-19 and shows the novel coronavirus might mainly act on lymphocytes, especially T lymphocytes.
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Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China.
Jin-jin Zhang,Xiang Dong,Yi yuan Cao,Ya-dong Yuan,Yi-bin Yang,You-qin Yan,Cezmi A. Akdis,Ya-dong Gao +7 more
TL;DR: This work aims to investigate the clinical characteristic and allergy status of patients infected with SARS‐CoV‐2 and its spread around the world.
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