David Scheinker

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Broadly Applicable

Top Venues

INFORMS J. Appl. Anal.

BMC Medical Informatics Decis. Mak.

Publications

Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
Tiered Service Architecture for Remote Patient Monitoring. CoRR (2024)
Jin Xie, Teng Zhang, Jose H. Blanchet, Peter W. Glynn, Matthew Randolph, David Scheinker
The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling. CoRR (2022)
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, James Xie
Visualizing Opioid-Use Variation in a Pediatric Perioperative Dashboard. Appl. Clin. Inform. 13 (2) (2022)
Yuan Shi, Saied Mahdian, Jose H. Blanchet, Peter W. Glynn, Andrew Young Shin, David Scheinker
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data. CoRR (2022)
Hilary P. Bagshaw, Alejandro Martinez, Nastaran Heidari, David Scheinker, Alan Pollack, Radka Stoyanova, Eric Horwitz, Gerard Morton, Amar U. Kishan, Mark Buyyounouski
A personalized decision aid for prostate cancer shared decision making. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
David Scheinker, Matt Hollingsworth, Anna Brody, Carey Phelps, William Bryant, Francesca Pei, Kristin Petersen, Alekhya Reddy, James Wall
The design and evaluation of a novel algorithm for automated preference card optimization. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Alexander Scheinker, David Scheinker
Extremum Seeking for Creating Optimal Feedback Controls of Unknown Systems by Tuning Basis Functions. ACC (2020)
Andrew Ward, Ashish Sarraju, Sukyung Chung, Jiang Li, Robert A. Harrington, Paul Heidenreich, Latha Palaniappan, David Scheinker, Fatima Rodriguez
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. npj Digit. Medicine 3 (2020)
David Scheinker, Margaret L. Brandeau
Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities. INFORMS J. Appl. Anal. 50 (3) (2020)
Daniel Miller, Andrew Ward, Nicholas Bambos, Andrew Young Shin, David Scheinker
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks. HealthCom (2019)
Andrew Ward, Zhengyuan Zhou, Nicholas Bambos, Ellen Wang, David Scheinker
Anesthesiologist Surgery Assignments using Policy Learning. ICC (2019)
Daniel Miller, Andrew Ward, Nicholas Bambos, David Scheinker, Andrew Young Shin
Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders. HealthCom (2018)
Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn
Improving predictions of pediatric surgical durations with supervised learning. Int. J. Data Sci. Anal. 4 (1) (2017)
Alexander Scheinker, David Scheinker
Extremum Seeking for Stabilization of Systems Not Affine in Control. CoRR (2016)
Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn
Detecting Inaccurate Predictions of Pediatric Surgical Durations. DSAA (2016)
Alexander Scheinker, David Scheinker
Bounded extremum seeking with discontinuous dithers. Autom. 69 (2016)