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2020 – today
- 2024
[j8]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, Carissa Carter, Johannes O. Ferstad, Erica Pang, Jamie Kurtzig, Brandon Arbiter, Howard Look, Ramesh Johari, David M. Maahs, David Scheinker:
The adaptation of a single institution diabetes care platform into a nationally available turnkey solution. npj Digit. Medicine 7(1) (2024)- [i4]Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker:
Tiered Service Architecture for Remote Patient Monitoring. CoRR abs/2406.18000 (2024) - 2022
- [j7]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): 370-379 (2022) - [i3]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 abs/2202.06383 (2022) - [i2]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 abs/2203.08146 (2022) - 2021
- [j6]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): 1088-1097 (2021) - [j5]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): 374 (2021) - 2020
- [j4]David Scheinker, Margaret L. Brandeau:
Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities. INFORMS J. Appl. Anal. 50(3): 176-189 (2020) - [j3]Andrew Ward, Ashish Sarraju, Sukyung Chung, Jiang Li, Robert A. Harrington, Paul Heidenreich, Latha Palaniappan, David Scheinker, Fátima Rodriguez:
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. npj Digit. Medicine 3 (2020) - [c5]Alexander Scheinker, David Scheinker:
Extremum Seeking for Creating Optimal Feedback Controls of Unknown Systems by Tuning Basis Functions. ACC 2020: 44-49
2010 – 2019
- 2019
- [c4]Daniel Miller, Andrew Ward, Nicholas Bambos, Andrew Young Shin, David Scheinker:
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks. HealthCom 2019: 1-6 - [c3]Andrew Ward, Zhengyuan Zhou, Nicholas Bambos, Ellen Wang, David Scheinker:
Anesthesiologist Surgery Assignments using Policy Learning. ICC 2019: 1-6 - 2018
- [c2]Daniel Miller, Andrew Ward, Nicholas Bambos, David Scheinker, Andrew Young Shin:
Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders. HealthCom 2018: 1-6 - 2017
- [j2]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): 35-52 (2017) - 2016
- [j1]Alexander Scheinker, David Scheinker:
Bounded extremum seeking with discontinuous dithers. Autom. 69: 250-257 (2016) - [c1]Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn:
Detecting Inaccurate Predictions of Pediatric Surgical Durations. DSAA 2016: 452-457 - [i1]Alexander Scheinker, David Scheinker:
Extremum Seeking for Stabilization of Systems Not Affine in Control. CoRR abs/1608.04587 (2016)
Coauthor Index
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