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Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
  and LogNNet Neural Network

Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network

20 May 2022
M. T. Huyut
Andrei Velichko
ArXivPDFHTML

Papers citing "Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network"

3 / 3 papers shown
Title
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic
  Time Series Classification, Python Package for NNetEn Calculation
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Andrei Velichko
M. Belyaev
Y. Izotov
Murugappan Murugappan
Hanif Heidari
22
8
0
31 Mar 2023
Detection of Risk Predictors of COVID-19 Mortality with Classifier
  Machine Learning Models Operated with Routine Laboratory Biomarkers
Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers
M. T. Huyut
Andrei Velichko
M. Belyaev
14
17
0
22 Oct 2022
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine
  Blood Values for Internet of Things Application
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application
Andrei Velichko
M. T. Huyut
M. Belyaev
Y. Izotov
Dmitry Korzun
OOD
16
36
0
08 Sep 2022
1