Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Samir Kendale   ^{1 *} , MD ;   Andrew Bishara   ^{2, 3 *} , MD ;   Michael Burns   ^{4 *} , MD, PhD ;   Stuart Solomon   ⁵ , MD ;   Matthew Corriere   ^{6 *} , MD ;   Michael Mathis   ^{4, 7 *} , MD

¹ Department of Anesthesia, Critical Care & Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States

² Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States

³ Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, United States

⁴ Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States

⁵ Department of Anesthesiology, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States

⁶ Department of Surgery, Section of Vascular Surgery, University of Michigan Medical School, Ann Arbor, MI, United States

⁷ Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, United States

*these authors contributed equally