Michael Avidan

Hierarchical Attention Propagation for Healthcare Representation Learning

Yixin Chen, Muhan Zhang, Christopher R. King, 2020, KDD.

Predicting Hospital Readmission via Cost-Sensitive Deep Learning

Yixin Chen, Haishuai Wang, Zhicheng Cui, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Exploring patient perspectives on telemedicine monitoring within the operating room

Joanna Abraham, Mary C. Politi, Michael Avidan, 2021, Int. J. Medical Informatics.

Comparing stress prediction models using smartwatch physiological signals and participant self-reports

Thomas George Kannampallil, Ruixuan Dai, Michael Avidan, 2021, Comput. Methods Programs Biomed..

RespWatch: Robust Measurement of Respiratory Rate on Smartwatches with Photoplethysmography

Thomas George Kannampallil, Ruixuan Dai, Michael Avidan, 2021, IoTDI.

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues pdf

Mohamed Abdelhack, Michael Avidan, Jiaming Zhang, 2021, ArXiv.

Cost-sensitive Deep Learning for Early Readmission Prediction at A Major Hospital

Haishuai Wang, Zhicheng Cui, Michael Avidan, 2017 .

Patient safety event reporting in critical care: A study of three intensive care units*

Melissa J. Krauss, Michael Avidan, Marin H Kollef, 2007, Critical care medicine.

Reporting and classification of patient safety events in a cardiothoracic intensive care unit and cardiothoracic postoperative care unit.

Melissa J. Krauss, Michael Avidan, Melissa J Krauss, 2005, The Journal of thoracic and cardiovascular surgery.