David J Albers (Dave Albers, D J Albers, David Albers)

ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Venues

Journal of medical Internet research

Journal of the American Medical Informatics Association : JAMIA

Chaos (Woodbury, N.Y.)

JMIR research protocols

Columbia University

University of Wisconsin Madison (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Columbia University Sep 01 2018

United States

Adjunct Professor :: Biomedical Informatics

University of Colorado Denver Sep 01 2018

United States

Associate Professor :: Pediatrics

Education History

University of Wisconsin Madison Sep 01 1998 - Aug 31 2004

United States

PHD :: Physics

Publications

Melike Sirlanci, Matthew E Levine, Cecilia C Low Wang, David J Albers, Andrew M Stuart
A simple modeling framework for prediction in the human glucose-insulin system. Chaos (Woodbury, N.Y.) 33 (7) (2023)
Yanran Wang, J N Stroh, George Hripcsak, Cecilia C Low Wang, Tellen D Bennett, Julia Wrobel, Caroline Der Nigoghossian, Scott Mueller, Jan Claassen, David J Albers
A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation. medRxiv : the preprint server for health sciences (2023)
Li-Heng Fu, Chris Knaplund, Kenrick Cato, Adler Perotte, Min-Jeoung Kang, Patricia C Dykes, David J Albers, Sarah Collins Rossetti
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. Journal of the American Medical Informatics Association : JAMIA 28 (9) (2021)
Bhargav R Karamched, George Hripcsak, David J Albers, William Ott
Delay-induced uncertainty for a paradigmatic glucose-insulin model. Chaos (Woodbury, N.Y.) 31 (2) (2021)
J N Stroh, Tellen D Bennett, Vitaly O Kheyfets, David J Albers
Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales. JMIR medical informatics 9 (3) (2021)
Sarah Collins Rossetti, Chris Knaplund, David J Albers, Patricia C Dykes, Min Jeoung Kang, Tom Z Korach, Li Zhou, Kumiko Schnock, Jose Garcia, Jessica M Schwartz, Li-Heng Fu, Jeffrey G Klann, Graham Lowenthal, Kenrick Cato
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. Journal of the American Medical Informatics Association : JAMIA 28 (6) (2021)
Sarah Collins Rossetti, Patricia C Dykes, Christopher Knaplund, Min-Jeoung Kang, Kumiko O Schnock, Jose Pedro Garcia, Li-Heng Fu, Frank Chang, Tien Thai, Matthew Fred, Tom Z Korach, Li Zhou, Jeffrey G Klann, David J Albers, Jessica M Schwartz, Graham Lowenthal, Haomiao Jia, Fang Liu, Kenrick D Cato
The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial. JMIR research protocols 10 (12) (2021)
Ashenafi Zebene Woldaregay, Ilkka Kalervo Launonen, Eirik Årsand, David J Albers, Anna Holubová, Gunnar Hartvigsen
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System. Journal of medical Internet research 22 (8) (2020)
Ashenafi Zebene Woldaregay, Ilkka Kalervo Launonen, David J Albers, Jorge Igual García, Eirik Årsand, Gunnar Hartvigsen
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism. Journal of medical Internet research 22 (8) (2020)
David J Roh, David J Albers, Jessica R Magid-Bernstein, Kevin Doyle, Eldad Hod, Andrew Eisenberger, Santosh Murthy, Jens Witsch, Soojin Park, Sachin Agarwal, E Sander Connolly, Mitchell S V Elkind, Jan Claassen
Low hemoglobin and hematoma expansion after intracerebral hemorrhage. Neurology 93 (4) (2019)
Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, David J Albers, Lena Mamykina, Gunnar Hartvigsen
Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes. Journal of medical Internet research 21 (5) (2019)

David J Albers.css-eqlu8i{font-size:small;padding-left:4px;} (Dave Albers, D J Albers, David Albers)

Publication Activity (10 Years)

Top Topics

Top Venues

David J Albers (Dave Albers, D J Albers, David Albers)