Interpretable Machine Learning Models for Predicting Cesarean Delivery in Class III Obese Cohorts by Rachel Bennett, Stephanie L. Pierce, Talayeh Razzaghi

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Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values. by Talayeh Razzaghi, Oleg Roderick, Ilya Safro, Nicholas Marko

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A machine learning and clustering-based approach for county-level COVID-19 analysis. by Charles Nicholson, Lex Beattie, Matthew Beattie, Talayeh Razzaghi, Sixia Chen

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An imbalance-aware deep neural network for early prediction of preeclampsia. by Rachel Bennett, Zuber D Mulla, Pavan Parikh, Alisse Hauspurg, Talayeh Razzaghi

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Predicting cesarean delivery among gravidas with morbid obesity–a machine learning approachAJOG Global Reports at a Glance by Rajasri Kolli, MS, Talayeh Razzaghi, PhD, Stephanie Pierce, MD, Rodney K. Edwards, MD, Marta Maxted, MD, MS, Pavan Parikh, MD, MS

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Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation by Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis Zervantonakis

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