Tom H. G. F. Bakkes

Orcid: 0000-0002-5528-5248

According to our database1, Tom H. G. F. Bakkes authored at least 13 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Estimation of respiratory system parameters using an extended equation of motion during mandatory mechanical ventilation.
Biomed. Signal Process. Control., 2026

2025
Validation of the advanced alert monitor in a Dutch hospital using local optimization and refinement of the outcome definition.
Int. J. Medical Informatics, 2025

Artificial intelligence in clinical decision support and the prediction of adverse events.
Frontiers Digit. Health, 2025

2024
RoA: visual analytics support for deconfounded causal inference in observational studies.
J. Data Sci. Stat. Vis., 2024

An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection.
Comput. Methods Programs Biomed., 2024

Model-Based Approaches for Breath-to-breath Estimation of Patient Effort during Mechanical Ventilation.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

External validation of the Advanced Alert Monitor (AAM) in a Dutch Hospital.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023
Automated detection and classification of patient-ventilator asynchrony by means of machine learning and simulated data.
Comput. Methods Programs Biomed., March, 2023

2021
A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use.
CoRR, 2021

Multi-Modal Uterine-Activity Measurements for Prediction of Embryo Implantation by Machine Learning.
IEEE Access, 2021

A Model-based Approach to Generating Annotated Pressure Support Waveforms.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A machine learning method for automatic detection and classification of patient-ventilator asynchrony.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Machine learning for classification of uterine activity outside pregnancy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


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