Search Results - David Scheinker

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  1. 1

    Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: Keys to implementation and opportunities by Dessi P. Zaharieva, Ransalu Senanayake, Conner Brown, Brendan Watkins, Glenn Loving, Priya Prahalad, Priya Prahalad, Johannes O. Ferstad, Carlos Guestrin, Emily B. Fox, Emily B. Fox, Emily B. Fox, David M. Maahs, David M. Maahs, David M. Maahs, David Scheinker, David Scheinker, David Scheinker, David Scheinker, David Scheinker

    Published in Frontiers in Endocrinology (2023-01-01)
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  2. 2

    A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care by Paul Dupenloup, Ryan Leonard Pei, Annie Chang, Michael Z. Gao, Priya Prahalad, Priya Prahalad, Ramesh Johari, Ramesh Johari, Kevin Schulman, Kevin Schulman, Ananta Addala, Dessi P. Zaharieva, David M. Maahs, David M. Maahs, David Scheinker, David Scheinker, David Scheinker, David Scheinker

    Published in Frontiers in Endocrinology (2022-11-01)
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  3. 3

    WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset by Daniel R. Miller, Gurpreet S. Dhillon, Nicholas Bambos, Andrew Y. Shin, David Scheinker

    Published in Scientific Data (2023-03-01)
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  4. 4

    Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients by Jiang Li, Fátima Rodriguez, Andrew Ward, Ashish Sarraju, David Scheinker, Sukyung Chung

    Published in Open Heart (2021-12-01)
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  5. 5

    Improving Clinical Outcomes in Newly Diagnosed Pediatric Type 1 Diabetes: Teamwork, Targets, Technology, and Tight Control—The 4T Study by Priya Prahalad, Dessi P. Zaharieva, Ananta Addala, Christin New, David Scheinker, David Scheinker, Manisha Desai, Manisha Desai, Korey K. Hood, Korey K. Hood, David M. Maahs, David M. Maahs

    Published in Frontiers in Endocrinology (2020-07-01)
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  6. 6

    Suboptimal antimicrobial discharge prescriptions at a tertiary referral children’s hospital by Yi Wolf Zhang, Sruti Paturi, Lauren M. Puckett, David Scheinker, Hayden T. Schwenk, Torsten A. Joerger

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  7. 7

    Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring by Isha Thapa, Brian Han, David N Rosenthal, Stephen J Roth, Andrew Y Shin, Nicholas Bambos, David Scheinker

    Published in JMIR Pediatrics and Parenting (2025-06-01)
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  8. 8

    County‐Level Factors Associated With Cardiovascular Mortality by Race/Ethnicity by Bongeka Z. Zuma, Justin T. Parizo, Areli Valencia, Gabriela Spencer‐Bonilla, Manuel R. Blum, David Scheinker, Fatima Rodriguez

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  9. 9

    Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population by Andrew Ward, Ashish Sarraju, Sukyung Chung, Jiang Li, Robert Harrington, Paul Heidenreich, Latha Palaniappan, David Scheinker, Fatima Rodriguez

    Published in npj Digital Medicine (2020-09-01)
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  10. 10

    A quantitative model to ensure capacity sufficient for timely access to care in a remote patient monitoring program by Annie Chang, Michael Z. Gao, Johannes O. Ferstad, Paul Dupenloup, Dessi P. Zaharieva, David M. Maahs, Priya Prahalad, Ramesh Johari, David Scheinker

    Published in Endocrinology, Diabetes & Metabolism (2023-09-01)
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  11. 11

    Examining the feasibility of data-driven decision support for the virtual crossmatch for solid organ transplantation: A single center study by Isha Thapa, Raymond Ye Lee, Marcelo Fernandez Vina, Bing Melody Zhang, Humera Ahmed, Andrew Y Shin, Nicholas Bambos, David N Rosenthal, David Scheinker

    Published in Transplantation Reports (2023-09-01)
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  12. 12

    Using Machine Learning Models to Identify Factors Associated With 30-Day Readmissions After Posterior Cervical Fusions: A Longitudinal Cohort Study by Aneysis D. Gonzalez-Suarez, Paymon G. Rezaii, Daniel Herrick, Seth Stravers Tigchelaar, John K. Ratliff, Mirabela Rusu, David Scheinker, Ikchan Jeon, Atman M. Desai

    Published in Neurospine (2024-06-01)
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  13. 13

    Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice by David Scheinker, Angela Gu, Joshua Grossman, Andrew Ward, Oseas Ayerdi, Daniel Miller, Jeannine Leverenz, Korey Hood, Ming Yeh Lee, David M Maahs, Priya Prahalad

    Published in JMIR Diabetes (2022-06-01)
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  14. 14

    Impact of Initial Cardiology Telemedicine Evaluation on Follow-Up Visits for Common Conditions: Quasi-Experimental Study by Neil M Kalwani, Harrison Koos, Emily Kohn, Vijaya Parameswaran, Anica Oesterle, Marina Adrianzen, Febri Kurniawan, Lubna Qureshi, Rajesh Dash, Paul Heidenreich, David Scheinker, Fatima Rodriguez

    Published in Journal of Medical Internet Research (2025-08-01)
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  15. 15

    The adaptation of a single institution diabetes care platform into a nationally available turnkey solution by 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

    Published in npj Digital Medicine (2024-11-01)
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  16. 16

    The evolving role of data & safety monitoring boards for real-world clinical trials by Bryan J. Bunning, Haley Hedlin, Jonathan H. Chen, Jody D. Ciolino, Johannes Opsahl Ferstad, Emily Fox, Ariadna Garcia, Alan Go, Ramesh Johari, Justin Lee, David M. Maahs, Kenneth W. Mahaffey, Krista Opsahl-Ong, Marco Perez, Kaylin Rochford, David Scheinker, Heidi Spratt, Mintu P. Turakhia, Manisha Desai

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