David Scheinker

23 papers B 1C 4Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Optimal Control for Remote Patient Monitoring with Multidimensional Health States.
ICC
Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2025 J jnl
Optimal Control for Remote Patient Monitoring with Multidimensional Health States.
CoRR
Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2025 J jnl
Regression discontinuity in Time: Evaluating the impact of evolving digital health interventions.
Int. J. Medical Informatics
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
2024 — conf
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach.
ML4H@NeurIPS
Johannes O. Ferstad, Emily B. Fox, David Scheinker, Ramesh Johari
2024 J jnl
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach.
CoRR
Johannes O. Ferstad, Emily B. Fox, David Scheinker, Ramesh Johari
2024 J jnl
The adaptation of a single institution diabetes care platform into a nationally available turnkey solution.
npj Digit. Medicine
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
2024 C conf
Tiered Service Architecture for Remote Patient Monitoring.
HealthCom
Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2024 J jnl
Tiered Service Architecture for Remote Patient Monitoring.
CoRR
Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2022 J jnl
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data.
CoRR
Yuan Shi, Saied Mahdian, Jose H. Blanchet, Peter W. Glynn, Andrew Young Shin, David Scheinker
2022 J jnl
The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling.
CoRR
Jin Xie, Teng Zhang, Jose H. Blanchet, Peter W. Glynn, Matthew Randolph, David Scheinker
2022 J jnl
Visualizing Opioid-Use Variation in a Pediatric Perioperative Dashboard.
Appl. Clin. Inform.
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
2021 J jnl
A personalized decision aid for prostate cancer shared decision making.
BMC Medical Informatics Decis. Mak.
Hilary P. Bagshaw, Alejandro Martinez, Nastaran Heidari, David Scheinker, Alan Pollack, Radka Stoyanova, Eric Horwitz, Gerard Morton, Amar U. Kishan, Mark K. Buyyounouski
2021 J jnl
The design and evaluation of a novel algorithm for automated preference card optimization.
J. Am. Medical Informatics Assoc.
David Scheinker, Matt Hollingsworth, Anna Brody, Carey Phelps, William Bryant, Francesca Pei, Kristin Petersen, Alekhya Reddy, James Wall
2020 C conf
Extremum Seeking for Creating Optimal Feedback Controls of Unknown Systems by Tuning Basis Functions.
ACC
Alexander Scheinker, David Scheinker
2020 J jnl
Implementing Analytics Projects in a Hospital: Successes, Failures, and Opportunities.
INFORMS J. Appl. Anal.
David Scheinker, Margaret L. Brandeau
2020 J jnl
Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population.
npj Digit. Medicine
Andrew Ward, Ashish Sarraju, Sukyung Chung, Jiang Li, Robert A. Harrington, Paul Heidenreich, Latha Palaniappan, David Scheinker, Fátima Rodriguez
2019 — conf
Anesthesiologist Surgery Assignments using Policy Learning.
ICC
Andrew Ward, Zhengyuan Zhou, Nicholas Bambos, Ellen Wang, David Scheinker
2019 C conf
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks.
HealthCom
Daniel Miller, Andrew Ward, Nicholas Bambos, Andrew Young Shin, David Scheinker
2018 C conf
Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders.
HealthCom
Daniel Miller, Andrew Ward, Nicholas Bambos, David Scheinker, Andrew Young Shin
2017 J jnl
Improving predictions of pediatric surgical durations with supervised learning.
Int. J. Data Sci. Anal.
Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn
2016 J jnl
Bounded extremum seeking with discontinuous dithers.
Autom.
Alexander Scheinker, David Scheinker
2016 B conf
Detecting Inaccurate Predictions of Pediatric Surgical Durations.
DSAA
Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn
2016 J jnl
Extremum Seeking for Stabilization of Systems Not Affine in Control.
CoRR
Alexander Scheinker, David Scheinker