Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting
Zea-Vera, Rodrigo, Ryan, Christopher T., Havelka, Jim, Corr, Stuart J., Nguyen, Tom C., Chatterjee, Subhasis, Wall, Matthew J., Coselli, Joseph S., Rosengart, Todd K., Ghanta, Ravi K.
Published in The Annals of thoracic surgery (01.09.2022)
Published in The Annals of thoracic surgery (01.09.2022)
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Using Artificial Intelligence to Improve Post-Transplant Survival Predictions
Pettit, Rowland W., Corr, Stuart, Havelka, Jim, Rana, Abbas A.
Published in Journal of the American College of Surgeons (01.10.2020)
Published in Journal of the American College of Surgeons (01.10.2020)
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Journal Article
Development of a Machine Learning Model to Predict Outcomes and Cost After Cardiac Surgery
Zea-Vera, Rodrigo, Ryan, Christopher T., Navarro, Sergio M., Havelka, Jim, Wall, Matthew J., Coselli, Joseph S., Rosengart, Todd K., Chatterjee, Subhasis, Ghanta, Ravi K.
Published in The Annals of thoracic surgery (01.06.2023)
Published in The Annals of thoracic surgery (01.06.2023)
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Journal Article
The utility of machine learning for predicting donor discard in abdominal transplantation
Pettit, Rowland W., Marlatt, Britton B., Miles, Travis J., Uzgoren, Selim, Corr, Stuart J., Shetty, Anil, Havelka, Jim, Rana, Abbas
Published in Clinical transplantation (01.05.2023)
Published in Clinical transplantation (01.05.2023)
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