Journal ArticleDOI
A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis
TLDR
The machine learning-based approach applied in this study is able to predict, with a high accuracy, the outbreak of cardiovascular diseases in patients on dialysis.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2019-08-01. It has received 89 citations till now. The article focuses on the topics: Radial basis function kernel.read more
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COVID-19 outbreak prediction with machine learning
Sina Ardabili,Amir Mosavi,Pedram Ghamisi,Filip Ferdinand,Annamária R. Várkonyi-Kóczy,Uwe Reuter,Timon Rabczuk,Peter M. Atkinson +7 more
TL;DR: A comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to susceptible–infected–recovered (SIR) and susceptible-exposed-infectious-removed (SEIR) models suggests machine learning as an effective tool to model the outbreak.
Journal ArticleDOI
COVID-19 pandemic prediction for Hungary; A hybrid machine learning approach
TL;DR: The hybrid machine learning methods of adaptive network-based fuzzy inference system and multi-layered perceptron-imperialist competitive algorithm are proposed to predict time series of infected individuals and mortality rate and predict that by late May, the outbreak and the total morality will drop substantially.
Journal ArticleDOI
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
TL;DR: The hybrid machine learning methods of adaptive network-based fuzzy inference system and multi-layered perceptron-imperialist competitive algorithm are used to predict the time series of the infected individuals and mortality rate and predict that by late May, the outbreak and the total morality will drop substantially.
Journal ArticleDOI
Neural network based country wise risk prediction of COVID-19
TL;DR: A shallow Long short-term memory (LSTM) based neural network is proposed to predict the risk category of a country and shows that the proposed pipeline outperforms against state-of-the-art methods for 170 countries data and can be a useful tool for such risk categorization.
Journal ArticleDOI
Real-Time State-of-Health Estimation of Lithium-Ion Batteries Based on the Equivalent Internal Resistance
TL;DR: A novel real-time SoH estimation method based on the equivalent internal resistance (EIR) that can predict the battery SoH in real time with good accuracy and robustness is introduced for lithium-ion batteries.
References
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Journal Article
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
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Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
TL;DR: Scikit-learn as mentioned in this paper is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Book
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
Book
Practical statistics for medical research
TL;DR: Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.