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Activities

Employment (2)

University of Colorado Denver: Denver, CO, US

2018-09-01 to present | Associate Professor (Pediatrics)
Employment
Source: Self-asserted source
David Albers

Columbia University: New York, NY, US

2018-09-01 to present | Adjunct Professor (Biomedical Informatics)
Employment
Source: Self-asserted source
David Albers

Education and qualifications (1)

University of Wisconsin Madison: Madison, WI, US

1998-09-01 to 2004-08-31 | PhD (Physics)
Education
Source: Self-asserted source
David Albers

Funding (1)

Mechanistic Machine Learning

2017-09-20 to 2020-08-31 | Grant
United States National Library of Medicine (Bethesda, US)
GRANT_NUMBER: R01LM012734
Source: Self-asserted source
David Albers via DimensionsWizard

Works (19)

The Recent Increase in Invasive Bacterial Infections: A Report From the National COVID Cohort Collaborative

Pediatric Infectious Disease Journal
2025-03 | Journal article
Contributors: Blake Martin; Peter E. DeWitt; Seth Russell; Melissa Haendel; Nelson Sanchez-Pinto; David J. Albers; Ravi R. Jhaveri; Richard Moffitt; Tellen D. Bennett
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Crossref

Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data

Journal of Biomedical Informatics
2023-09 | Journal article
Contributors: David Albers; Melike Sirlanci; Matthew Levine; Jan Claassen; Caroline Der Nigoghossian; George Hripcsak
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Crossref

A simple modeling framework for prediction in the human glucose–insulin system

Chaos: An Interdisciplinary Journal of Nonlinear Science
2023-07-01 | Journal article
Contributors: Melike Sirlanci; Matthew E. Levine; Cecilia C. Low Wang; David J. Albers; Andrew M. Stuart
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Crossref

Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model

2023-06-19 | Preprint
Contributors: Deepak. K. Agrawal; Bradford J. Smith; Peter D. Sottile; George Hripcsak; David J. Albers
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Crossref

A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation

2023-03-19 | Preprint
Contributors: Yanran Wang; J.N. Stroh; George Hripcsak; Cecilia C. Low Wang; Tellen D. Bennett; Julia Wrobel; Caroline Der Nigoghossian; Scott Mueller; Jan Claassen; D.J. Albers
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Crossref

Inferring Insulin Secretion Rate From Sparse Patient Glucose and Insulin Measures

2022-03-13 | Preprint
Contributors: Rammah M. Abohtyra; Christine L. Chan; David J. Albers; Bruce J. Gluckman
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Crossref

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events

Journal of the American Medical Informatics Association
2021-08-13 | Journal article
Contributors: Li-Heng Fu; Chris Knaplund; Kenrick Cato; Adler Perotte; Min-Jeoung Kang; Patricia C Dykes; David Albers; Sarah Collins Rossetti
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Crossref

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
2021-06-12 | Journal article
Contributors: Sarah Collins Rossetti; Chris Knaplund; Dave Albers; Patricia C Dykes; Min Jeoung Kang; Tom Z Korach; Li Zhou; Kumiko Schnock; Jose Garcia; Jessica Schwartz et al.
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Crossref

Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales

JMIR Medical Informatics
2021-03-22 | Journal article
Contributors: J N Stroh; Tellen D Bennett; Vitaly Kheyfets; David Albers
Source: check_circle
Crossref

Delay-induced uncertainty for a paradigmatic glucose–insulin model

Chaos: An Interdisciplinary Journal of Nonlinear Science
2021-02 | Journal article
Contributors: Bhargav Karamched; George Hripcsak; David Albers; William Ott
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Crossref

A damaged-informed lung ventilator model for ventilator waveforms

2020-10-23 | Preprint
Contributors: Deepak K. Agrawal; Bradford J. Smith; Peter D. Sottile; David J. Albers
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Crossref

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
2020-08-12 | Journal article
Contributors: Ashenafi Zebene Woldaregay; Ilkka Kalervo Launonen; David Albers; Jorge Igual; Eirik Årsand; Gunnar Hartvigsen
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Crossref

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
2020-08-12 | Journal article
Contributors: Ashenafi Zebene Woldaregay; Ilkka Kalervo Launonen; Eirik Årsand; David Albers; Anna Holubová; Gunnar Hartvigsen
Source: check_circle
Crossref

Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales (Preprint)

2020-08-04 | Other
Contributors: J N Stroh; Tellen D Bennett; Vitaly Kheyfets; David Albers
Source: check_circle
Crossref

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 (Preprint)

2020-03-26 | Other
Contributors: Ashenafi Zebene Woldaregay; Ilkka Kalervo Launonen; David Albers; Jorge Igual; Eirik Årsand; Gunnar Hartvigsen
Source: check_circle
Crossref

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 (Preprint)

2020-03-26 | Other
Contributors: Ashenafi Zebene Woldaregay; Ilkka Kalervo Launonen; Eirik Årsand; David Albers; Anna Holubová; Gunnar Hartvigsen
Source: check_circle
Crossref

Low hemoglobin and hematoma expansion after intracerebral hemorrhage

Neurology
2019-07-23 | Journal article
Contributors: David J. Roh; David J. Albers; Jessica Magid-Bernstein; Kevin Doyle; Eldad Hod; Andrew Eisenberger; Santosh Murthy; Jens Witsch; Soojin Park; Sachin Agarwal et al.
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Crossref

Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes

Journal of Medical Internet Research
2019-05-01 | Journal article
Contributors: Ashenafi Zebene Woldaregay; Eirik Årsand; Taxiarchis Botsis; David Albers; Lena Mamykina; Gunnar Hartvigsen
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Crossref

Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes (Preprint)

2018-05-11 | Other
Contributors: Ashenafi Zebene Woldaregay; Eirik Årsand; Taxiarchis Botsis; David Albers; Lena Mamykina; Gunnar Hartvigsen
Source: check_circle
Crossref

Peer review (2 reviews for 2 publications/grants)

Review activity for Neural networks. (1)
Review activity for npj digital medicine. (1)