Ideas Made to Matter
3 business problems data analytics can help solve
Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
Sep 18, 2023
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Jordan Levine
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"Congenital Heart Surgery Machine Learning-derived In-depth Benchmarking Tool."
Sarris, George E., Daisy Zhuo, Luca Mingardi, Jack Dunn, Jordan Levine, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and Dimitris Bertsimas. The Annals of Thoracic Surgery. Forthcoming.
"Use of Artificial Intelligence for Nonlinear Benchmarking of Surgical Care."
Dorken-Gallastegi, Ander, Majed El Hechi, Maxime Amram, Leon Naar, Lydia R. Maurer, Anthony Gebran, Jack Dunn, Daisy Zhuo, Jordan Levine, Dimitris Bertsimas, and Haytham Kaafarani. Surgery Vol. 174, No. 6 (2023): 1302-1308.
"Benchmarking Cesarean Delivery Rates Using Machine Learning-derived Optimal Classification Trees."
Gimovsky, Alexis, Daisy Zhuo, Jordan Levine, Jack Dunn, Maxime Amram, and Alan M. Peaceman. Health Services Research Vol. 57, No. 4 (2022): 796-805.
"Benchmarking in Congenital Heart Surgery Using Machine Learning-derived Optimal Classification Trees."
Bertsimas, Dimitris, Daisy Zhuo, Jordan Levine, Jack Dunn, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 13, No. 1 (2022): 23-35.
"Prolonged Second Stage Effect on Pelvic Floor Dysfunction: A Follow up Survey to a Randomized Controlled Trial."
Gimovsky, Alexis C., Jaclyn M. Phillips, Molly Amero, Jordan Levine, and Vincenzo Berghella. The Journal of Maternal-Fetal & Neonatal Medicine Vol. 35, No. 25 (2022): 5520-5525.
"Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach."
Bertsimas, Dimitris, Daisy Zhuo, Jack Dunn, Jordan Levine, Eugenio Zuccarelli, Nikos Smyrnakis, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 12, No. 4 (2021): 453-460.
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