Detecting Inaccurate Predictions of Pediatric Surgical Durations. - Zhengyuan Zhou; Daniel Miller 001; Neal Master; David Scheinker; Nicholas Bambos; Peter W. Glynn (DSAA, 2016)

Bounded extremum seeking with discontinuous dithers. - Alexander Scheinker; David Scheinker (Autom., 2016)

Extremum Seeking for Stabilization of Systems Not Affine in Control. - Alexander Scheinker; David Scheinker (CoRR, 2016)

Improving predictions of pediatric surgical durations with supervised learning. - Neal Master; Zhengyuan Zhou; Daniel Miller 001; David Scheinker; Nicholas Bambos; Peter W. Glynn (Int. J. Data Sci. Anal., 2017)

Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders. - Daniel Miller 001; Andrew Ward; Nicholas Bambos; David Scheinker; Andrew Young Shin (HealthCom, 2018)

Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks. - Daniel Miller 001; Andrew Ward; Nicholas Bambos; Andrew Young Shin; David Scheinker (HealthCom, 2019)

Anesthesiologist Surgery Assignments using Policy Learning. - Andrew Ward; Zhengyuan Zhou; Nicholas Bambos; Ellen Wang; David Scheinker (ICC, 2019)

Extremum Seeking for Creating Optimal Feedback Controls of Unknown Systems by Tuning Basis Functions. - Alexander Scheinker; David Scheinker (ACC, 2020)

Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities. - David Scheinker; Margaret L. Brandeau (INFORMS J. Appl. Anal., 2020)

Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. - Andrew Ward; Ashish Sarraju; Sukyung Chung; Jiang Li; Robert A. Harrington; Paul Heidenreich; Latha Palaniappan; David Scheinker; Fátima Rodriguez (npj Digit. Medicine, 2020)

The design and evaluation of a novel algorithm for automated preference card optimization. - David Scheinker; Matt Hollingsworth; Anna Brody; Carey Phelps; William Bryant; Francesca Pei; Kristin Petersen; Alekhya Reddy; James Wall (J. Am. Medical Informatics Assoc., 2021)

A personalized decision aid for prostate cancer shared decision making. - Hilary P. Bagshaw; Alejandro Martinez; Nastaran Heidari; David Scheinker; Alan Pollack; Radka Stoyanova; Eric Horwitz; Gerard Morton; Amar U. Kishan; Mark Buyyounouski (BMC Medical Informatics Decis. Mak., 2021)

Visualizing Opioid-Use Variation in a Pediatric Perioperative Dashboard. - Conrad W. Safranek; Lauren E. Feitzinger; Alice Kate Cummings Joyner; Nicole Woo; Virgil Smith; Elizabeth De Souza; Christos Vasilakis; Thomas Anthony Anderson; James Fehr; Andrew Young Shin; David Scheinker; Ellen Wang; et al. (Appl. Clin. Inform., 2022)

Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data. - Yuan Shi; Saied Mahdian; Jose H. Blanchet; Peter W. Glynn; Andrew Young Shin; David Scheinker (CoRR, 2022)

The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling. - Jin Xie 006; Teng Zhang; Jose H. Blanchet; Peter W. Glynn; Matthew Randolph; David Scheinker (CoRR, 2022)

Tiered Service Architecture for Remote Patient Monitoring. - Siddharth Chandak; Isha Thapa; Nicholas Bambos; David Scheinker (HealthCom, 2024)

Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach. - Johannes O. Ferstad; Emily B. Fox; David Scheinker; Ramesh Johari (ML4H@NeurIPS, 2024)

The adaptation of a single institution diabetes care platform into a nationally available turnkey solution. - Gloria Y. K. Kim; Rea Rostosky; Franziska K. Bishop; Kelly Watson; Priya Prahalad; Aishwari Vaidya; Sharon Lee; Alexander Diana; Clint Beacock; Brian Chu; Ginny Yadav; Kaylin Rochford; et al. (npj Digit. Medicine, 2024)

Regression discontinuity in Time: Evaluating the impact of evolving digital health interventions. - Isha Thapa; Pierre-Amaury Laforcade; Franziska K. Bishop; Johannes O. Ferstad; Manisha Desai; David M. Maahs; Priya Prahalad; Dessi P. Zaharieva; David Scheinker; Ramesh Johari (Int. J. Medical Informatics, 2025)

Optimal Control for Remote Patient Monitoring with Multidimensional Health States. - Siddharth Chandak; Isha Thapa; Nicholas Bambos; David Scheinker (CoRR, 2025)