Jan Claassen

According to our database, Jan Claassen authored at least 11 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Yanran Wang, J. N. Stroh, George Hripcsak, Cecilia C. Low Wang, Tellen D. Bennett, Julia Wrobel, Caroline Der Nigoghossian, Scott W. Mueller, Jan Claassen, David J. Albers

J. Biomed. Informatics, December, 2023

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

David J. Albers, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak

J. Biomed. Informatics, September, 2023

A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning.

Ahmed Elhussein, Jude Savarraj, E. Sander Connolly, Murad Megjhani, Soon Bin Kwon, Angela Velazquez, Daniel Nametz, David J. Roh, Jan Claassen, Miriam Weiss, Sachin Agarwal, Huimahn A. Choi, Gerrit A. Schubert, Soojin Park, Gamze Gürsoy

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020

Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting.

David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak

Proceedings of the AMIA 2020, 2020

2019

Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients.

Tahsin T. Yavuz, Jan Claassen, Samantha Kleinberg

Proceedings of the AMIA 2019, 2019

2018

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.

David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, Andrew Goldstein, George Hripcsak

J. Biomed. Informatics, 2018

Automated Identification of Causal Moderators in Time-Series Data.

Min Zheng, Jan Claassen, Samantha Kleinberg

Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018

Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges.

David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak

Proceedings of the AMIA 2018, 2018

2015

Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data.

Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg

J. Biomed. Informatics, 2015

2014

Imputation of Missing Values in Time Series with Lagged Correlations.

Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2012

Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients.

David J. Albers, Jan Claassen, George Hripcsak

Proceedings of the AMIA 2012, 2012