Cancer Surgery and COVID19 von Ardizzone, Laura, Barber, Thomas, Drebin, Jeffrey, Fischer, Gregory, Jewell, Elizabeth, Laudone Vincent, Levine, Marcia, Linder, Jeannine, Simon, Brett, Stromblad Christopher, Tabar Viviane, Weiser, Martin, Shok-Jean, Yee

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StratBAM: A Discrete-Event Simulation Model to Support Strategic Hospital Bed Capacity Decisions von Devapriya, Priyantha, Strömblad, Christopher T. B., Bailey, Matthew D., Frazier, Seth, Bulger, John, Kemberling, Sharon T., Wood, Kenneth E

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Simply Adjusting for Schedulers’ Bias in Estimated Case Durations Can Accomplish the Same Objectives of Improving Predictions as Use of Machine Learning—Reply von Strömblad, Christopher T, Wilson, Roger S

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Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources: A Randomized Clinical Trial von Strömblad, Christopher T, Baxter-King, Ryan G, Meisami, Amirhossein, Yee, Shok-Jean, Levine, Marcia R, Ostrovsky, Aaron, Stein, Daniel, Iasonos, Alexia, Weiser, Martin R, Garcia-Aguilar, Julio, Abu-Rustum, Nadeem R, Wilson, Roger S

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Predicting Patients at Risk for 3-Day Postdischarge Readmissions, ED Visits, and Deaths von Agrawal, Deepak, Chen, Cheng-Bang, Dravenstott, Ronald W., Strömblad, Christopher T. B., Schmid, John Andrew, Darer, Jonathan D., Devapriya, Priyantha, Kumara, Soundar

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Quantile regression forests for individualized surgery scheduling von Dean, Arlen, Meisami, Amirhossein, Lam, Henry, Van Oyen, Mark P., Stromblad, Christopher, Kastango, Nick

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Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical ResourcesA Randomized Clinical Trial von Strömblad, Christopher T, Baxter-King, Ryan G, Meisami, Amirhossein, Yee, Shok-Jean, Levine, Marcia R, Ostrovsky, Aaron, Stein, Daniel, Iasonos, Alexia, Weiser, Martin R, Garcia-Aguilar, Julio, Abu-Rustum, Nadeem R, Wilson, Roger S

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