Michael R. Pinsky

Orcid: 0000-0001-6166-700X

According to our database1, Michael R. Pinsky authored at least 18 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Intelligent Clinical Decision Support.
Sensors, 2022

Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data.
Sensors, 2022

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy.
J. Am. Medical Informatics Assoc., 2022

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside.
Int. J. Medical Informatics, 2022

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact.
Proceedings of the AMIA 2022, 2022

2021
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.
J. Am. Medical Informatics Assoc., 2021

Understanding Clinical Collaborations Through Federated Classifier Selection.
Proceedings of the Machine Learning for Healthcare Conference, 2021

Toward Robotically Automated Femoral Vascular Access.
Proceedings of the International Symposium on Medical Robotics, 2021

2020
Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs.
Sensors, 2020

2019
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning.
CoRR, 2019

Dynamically Personalized Detection of Hemorrhage.
Proceedings of the Machine Learning for Healthcare Conference, 2019

2017
Learning temporal rules to forecast instability in continuously monitored patients.
J. Am. Medical Informatics Assoc., 2017

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events.
Proceedings of the AMIA 2017, 2017

2016
A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability.
Proceedings of the AMIA 2016, 2016

2015
Real-time visual analysis of microvascular blood flow for critical care.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process.
Proceedings of the AMIA 2015, 2015


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