Next-generation phenotyping of electronic health records

por Hripcsak, George, Albers, David J
Publicado 2013

Correlating electronic health record concepts with healthcare process events

por Hripcsak, George, Albers, David J
Publicado 2013

High-fidelity phenotyping: richness and freedom from bias

por Hripcsak, George, Albers, David J
Publicado 2018

Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study

por Hripcsak, George, Albers, David J.
Publicado 2022

Parameterizing time in electronic health record studies

por Hripcsak, George, Albers, David J, Perotte, Adler
Publicado 2015

Neuromuscular blockade is associated with the attenuation of biomarkers of epithelial and endothelial injury in patients with moderate-to-severe acute respiratory distress syndrome

por Sottile, Peter D., Albers, David, Moss, Marc M.
Publicado 2018

Digital single-operator pancreatoscopy for evaluation of intraductal papillary mucinous neoplasm

por Albers, David, Dakkak, Dani, Sterlacci, William, Vieth, Michael, Schumacher, Brigitte
Publicado 2016

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

por Stroh, J N, Bennett, Tellen D, Kheyfets, Vitaly, Albers, David
Publicado 2021

Ventilator dyssynchrony – Detection, pathophysiology, and clinical relevance: A Narrative review

por Sottile, Peter D., Albers, David, Smith, Bradford J., Moss, Marc M.
Publicado 2020

Direct endoscopic necrosectomy in infected pancreatic necrosis using lumen-apposing metal stents: Early intervention does not compromise outcome

por Albers, David, Meining, Alexander, Hann, Alexander, Ayoub, Younan Kabara, Schumacher, Brigitte
Publicado 2021

Development of a Pediatric Blood Pressure Percentile Tool for Clinical Decision Support

por Martin, Blake, DeWitt, Peter E., Albers, David, Bennett, Tellen D.
Publicado 2022

A Damaged-Informed Lung Ventilator Model for Ventilator Waveforms

por Agrawal, Deepak K., Smith, Bradford J., Sottile, Peter D., Albers, David J.
Publicado 2021

Inferring Insulin Secretion Rate from Sparse Patient Glucose and Insulin Measures

por Abohtyra, Rammah M., Chan, Christine L., Albers, David J., Gluckman, Bruce J.
Publicado 2022

Delay-induced uncertainty in the glucose-insulin system: Pathogenicity for obesity and type-2 diabetes mellitus

por Karamched, Bhargav R., Hripcsak, George, Leibel, Rudolph L., Albers, David, Ott, William
Publicado 2022

Personalized glucose forecasting for type 2 diabetes using data assimilation

por Albers, David J., Levine, Matthew, Gluckman, Bruce, Ginsberg, Henry, Hripcsak, George, Mamykina, Lena
Publicado 2017

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

por Woldaregay, Ashenafi Zebene, Årsand, Eirik, Botsis, Taxiarchis, Albers, David, Mamykina, Lena, Hartvigsen, Gunnar
Publicado 2019

Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation

por Albers, David J., Levine, Matthew, Gluckman, Bruce, Ginsberg, Henry, Hripcsak, George, Mamykina, Lena
Publicado 2021

Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype

por Albers, David J, Levine, Matthew E, Stuart, Andrew, Mamykina, Lena, Gluckman, Bruce, Hripcsak, George
Publicado 2018

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):...

por Woldaregay, Ashenafi Zebene, Launonen, Ilkka Kalervo, Albers, David, Igual, Jorge, Årsand, Eirik, Hartvigsen, Gunnar
Publicado 2020

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 Sys...

por Woldaregay, Ashenafi Zebene, Launonen, Ilkka Kalervo, Årsand, Eirik, Albers, David, Holubová, Anna, Hartvigsen, Gunnar
Publicado 2020