Jan Claassen

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 8

Top Topics

Knn Classification

Caenorhabditis Elegans

Imputation Methods

Top Venues

J. Biomed. Informatics

Publications

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
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. BIBM (2023)
David J. Albers, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J. Biomed. Informatics 145 (2023)
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
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J. Biomed. Informatics 148 (2023)
David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. AMIA (2020)
Tahsin T. Yavuz, Jan Claassen, Samantha Kleinberg
Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients. AMIA (2019)
David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, A. Goldstein, George Hripcsak
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J. Biomed. Informatics 78 (2018)
Min Zheng, Jan Claassen, Samantha Kleinberg
Automated Identification of Causal Moderators in Time-Series Data. CD@KDD (2018)
David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. AMIA (2018)
Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. J. Biomed. Informatics 58 (2015)
Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg
Imputation of Missing Values in Time Series with Lagged Correlations. ICDM Workshops (2014)
David J. Albers, Jan Claassen, George Hripcsak
Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients. AMIA (2012)