A machine learning approach for mortality prediction only using non-invasive parameters

2020 ◽  
Vol 58 (10) ◽  
pp. 2195-2238
Author(s):  
Guang Zhang ◽  
JiaMeng Xu ◽  
Ming Yu ◽  
Jing Yuan ◽  
Feng Chen
Keyword(s):  
Machine Learning ◽  
Mortality Prediction ◽  
Learning Approach ◽  
Non Invasive ◽  
Machine Learning Approach

scholarly journals Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 227936-227944
Author(s):  
Daniel E. Hurtado ◽  
Javier A. P. Chavez ◽  
Roberto Mansilla ◽  
Roberto Lopez ◽  
Angel Abusleme
Keyword(s):  
Machine Learning ◽  
Tidal Volume ◽  
Minute Ventilation ◽  
Learning Approach ◽  
Respiratory Volume ◽  
Non Invasive ◽  
Machine Learning Approach

Non-invasive Machine Learning approach for classifying Blood Pressure using PPG Signals in COVID situation

2021 ◽  
Author(s):  
B Durga Siva Praveen ◽  
D.V.N. Sandeep ◽  
I.V.V. Raghavendra ◽  
M. Yuvaraj ◽  
S Sarath
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Learning Approach ◽  
Non Invasive ◽  
Machine Learning Approach

scholarly journals Mortality prediction enhancement in end-stage renal disease: A machine learning approach

2020 ◽  
Vol 19 ◽  
pp. 100351
Author(s):  
Edwar Macias ◽  
Antoni Morell ◽  
Javier Serrano ◽  
Jose Lopez Vicario ◽  
Jose Ibeas
Keyword(s):  
Machine Learning ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Mortality Prediction ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Stage Renal Disease ◽  
End Stage
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