Michael Avidan

Orcid: 0000-0001-6248-044X

According to our database1, Michael Avidan authored at least 19 papers between 2018 and 2023.

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

Timeline

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Links

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Bibliography

2023
Integrating machine learning predictions for perioperative risk management: Towards an empirical design of a flexible-standardized risk assessment tool.
J. Biomed. Informatics, January, 2023

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.
Trans. Mach. Learn. Res., 2023

2022
An ethnographic study on the impact of a novel telemedicine-based support system in the operating room.
J. Am. Medical Informatics Assoc., 2022

Algorithmic Bias in Machine Learning Based Delirium Prediction.
CoRR, 2022

Deep Learning to Jointly Schema Match, Impute, and Transform Databases.
CoRR, 2022

Perioperative Predictions with Interpretable Latent Representation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-explaining Hierarchical Model for Intraoperative Time Series.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Differential classification of states of consciousness using envelope- and phase-based functional connectivity.
NeuroImage, 2021

An observational study of postoperative handoff standardization failures.
Int. J. Medical Informatics, 2021

Exploring patient perspectives on telemedicine monitoring within the operating room.
Int. J. Medical Informatics, 2021

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues.
CoRR, 2021

Comparing stress prediction models using smartwatch physiological signals and participant self-reports.
Comput. Methods Programs Biomed., 2021

RespWatch: Robust Measurement of Respiratory Rate on Smartwatches with Photoplethysmography.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020
(Un)fairness in Post-operative Complication Prediction Models.
CoRR, 2020

Hierarchical Attention Propagation for Healthcare Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Postoperative Mortality Prediction with and Without the Use of Intraoperative Features.
Proceedings of the AMIA 2020, 2020

2019
Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.
F1000Research, 2019

A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room.
Proceedings of the AMIA 2019, 2019

2018
Predicting Hospital Readmission via Cost-Sensitive Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018


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