Ming Yu

Orcid: 0000-0002-4880-6543

Affiliations:
  • Academy of Military Sciences, Institute of Medical Support, Tianjin, China
  • National Biological Protection Engineering Centre, Institute of Medical Equipment, Tianjin, China


According to our database1, Ming Yu authored at least 10 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Classification and Location of Cerebral Hemorrhage Points Based on SEM and SSA-GA-BP Neural Network.
IEEE Trans. Instrum. Meas., 2024

2023
Developing and evaluating a machine-learning-based algorithm to predict the incidence and severity of ARDS with continuous non-invasive parameters from ordinary monitors and ventilators.
Comput. Methods Programs Biomed., March, 2023

2022
A machine learning method for predicting the probability of MODS using only non-invasive parameters.
Comput. Methods Programs Biomed., 2022

An interpretable deep learning algorithm for dynamic early warning of posttraumatic hemorrhagic shock based on noninvasive parameter.
Biomed. Signal Process. Control., 2022

2021
A machine learning method for acute hypotensive episodes prediction using only non-invasive parameters.
Comput. Methods Programs Biomed., 2021

A novel approach to estimate blood pressure of blood loss continuously based on stacked auto-encoder neural networks.
Biomed. Signal Process. Control., 2021

2020
A machine learning approach for mortality prediction only using non-invasive parameters.
Medical Biol. Eng. Comput., 2020

PGMM - Pre-Trained Gaussian Mixture Model Based Convolution Neural Network for Electroencephalography Imagery Analysis.
IEEE Access, 2020

2017
A method to differentiate between ventricular fibrillation and asystole during chest compressions using artifact-corrupted ECG alone.
Comput. Methods Programs Biomed., 2017

2016
A new method to detect ventricular fibrillation from CPR artifact-corrupted ECG based on the ECG alone.
Biomed. Signal Process. Control., 2016


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