Coronavirus disease (COVID-19) cases analysis using machine-learning applications.
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TLDR
In this article, the role of machine learning applications and algorithms in investigating and various purposes that deals with COVID-19 was detected and the purpose of this study is to detect the role machine learning application and algorithms.Citations
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Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems
Hemant B. Mahajan,Ameer Sardar Kwekha Rashid,Aparna Junnarkar,Nilesh J. Uke,Sarita Deshpande,Pravin Futane,Ahmed Alkhayyat,Bilal Alhayani +7 more
TL;DR: In this paper , the authors present a systematic study of modern blockchain-based solutions for securing medical data with or without cloud computing, and implement and evaluate the different methods using blockchain in this paper.
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Deepfake detection using rationale-augmented convolutional neural network
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The optimization efficient energy cooperative communication image transmission over WSN
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TL;DR: In this article, the authors proposed energy efficiency and quality-aware multi-hop one-way cooperative image transmission framework based on image pre-processing technique, wavelet-based two-dimensional discrete wavelet transform (2D-DWT) methodology, and decode-and-forward (DF) algorithm at relay nodes.
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Stroke Risk Prediction with Machine Learning Techniques
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References
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Book
Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
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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.
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A new coronavirus associated with human respiratory disease in China.
Fan Wu,Su Zhao,Bin Yu,Yan-Mei Chen,Wen Wang,Zhi gang Song,Yi Hu,Zhao Wu Tao,Jun Hua Tian,Yuan Yuan Pei,Ming Li Yuan,Yu Ling Zhang,Fa Hui Dai,Yi Liu,Qi Min Wang,Jiao Jiao Zheng,Lin Xu,Edward C. Holmes,Edward C. Holmes,Yong-Zhen Zhang,Yong-Zhen Zhang +20 more
TL;DR: Phylogenetic and metagenomic analyses of the complete viral genome of a new coronavirus from the family Coronaviridae reveal that the virus is closely related to a group of SARS-like coronaviruses found in bats in China.
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Artificial intelligence and machine learning to fight COVID-19.
Ahmad Alimadadi,Sachin Aryal,Ishan Manandhar,Patricia B. Munroe,Patricia B. Munroe,Bina Joe,Xi Cheng +6 more
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Covid-19: identifying and isolating asymptomatic people helped eliminate virus in Italian village.
TL;DR: How blanket testing in a completely isolated village of roughly 3000 people in northern Italy saw the number of people with covid-19 symptoms fall by over 90% within 10 days is reported.
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