David J. Albers
Orcid: 0000-0002-5369-526X
According to our database1,
David J. Albers
authored at least 57 papers
between 2011 and 2023.
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Bibliography
2023
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation.
J. Biomed. Informatics, December, 2023
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.
J. Biomed. Informatics, September, 2023
Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity.
J. Biomed. Informatics, August, 2023
Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research.
J. Biomed. Informatics, January, 2023
2022
A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation.
Proceedings of the AMIA 2022, 2022
Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling.
Proceedings of the AMIA 2022, 2022
Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents.
Proceedings of the AMIA 2022, 2022
Informatics Research and Implementation During COVID: Challenges, Opportunities and Recommendations for Building a Sustainable Infrastructure.
Proceedings of the AMIA 2022, 2022
Optimizing Strategies of Pressure Reactivity Index and Optimal Cerebral Perfusion Pressure Identification for Cerebral Autoregulatory-Guided Clinical Decision Support.
Proceedings of the AMIA 2022, 2022
2021
Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation.
PLoS Comput. Biol., 2021
Enabling personalized decision support with patient-generated data and attributable components.
J. Biomed. Informatics, 2021
Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study.
J. Am. Medical Informatics Assoc., 2021
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework.
J. Am. Medical Informatics Assoc., 2021
Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events.
J. Am. Medical Informatics Assoc., 2021
Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings.
Int. J. Medical Informatics, 2021
From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Toward phenotyping of ventilator-induced lung injury with a damage-informed pulmonary model of lung-ventilator interaction.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Development and validation of early warning score system: A systematic literature review.
J. Biomed. Informatics, 2020
A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study.
Int. J. Medical Informatics, 2020
Utilizing Timestamps of Longitudinal Data from Electronic Health Record to Predict Clinical Deterioration Events.
Proceedings of the AMIA 2020, 2020
Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting.
Proceedings of the AMIA 2020, 2020
2019
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Artif. Intell. Medicine, 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics.
Proceedings of the Machine Learning for Healthcare Conference, 2019
Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.
Proceedings of the AMIA 2019, 2019
Machine learning for personalized decision support with patient-generated health data.
Proceedings of the AMIA 2019, 2019
Feasibility of a machine learning based method to generate personalized nutrition goals for diabetes self-management.
Proceedings of the AMIA 2019, 2019
2018
Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.
J. Biomed. Informatics, 2018
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.
J. Biomed. Informatics, 2018
J. Am. Medical Informatics Assoc., 2018
J. Am. Medical Informatics Assoc., 2018
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.
J. Am. Medical Informatics Assoc., 2018
Pictures Worth a Thousand Words: Reflections on Visualizing Personal Blood Glucose Forecasts for Individuals with Type 2 Diabetes.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges.
Proceedings of the AMIA 2018, 2018
2017
PLoS Comput. Biol., 2017
An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model Version 5.0.
J. Heal. Informatics Res., 2017
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes.
CoRR, 2017
Reflecting on Diabetes Self-Management Logs with Simulated, Continuous Blood Glucose Curves: A Pilot Study.
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
2016
Data-driven health management: reasoning about personally generated data in diabetes with information technologies.
J. Am. Medical Informatics Assoc., 2016
Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data.
Proceedings of the AMIA 2016, 2016
Approaches for using temporal and other filters for next generation phenotype discovery.
Proceedings of the AMIA 2016, 2016
Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes.
Proceedings of the AMIA 2016, 2016
2015
J. Am. Medical Informatics Assoc., 2015
Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology.
Proceedings of the AMIA 2015, 2015
Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose.
Proceedings of the AMIA 2015, 2015
2014
Survival analysis with electronic health record data: Experiments with chronic kidney disease.
Stat. Anal. Data Min., 2014
J. Biomed. Informatics, 2014
Model selection for EHR laboratory variables: how physiology and the health care process can influence EHR laboratory data and their model representations.
Proceedings of the AMIA 2014, 2014
2013
J. Am. Medical Informatics Assoc., 2013
Using patient laboratory measurement values and dynamics to deconvolve EHR bias and define acuity-based phenotypes.
Proceedings of the AMIA 2013, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients.
Proceedings of the AMIA 2012, 2012
2011
J. Am. Medical Informatics Assoc., 2011
Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations
CoRR, 2011