Jan Claassen - RankMe

12 papers Misc 4Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal inference for time series datasets with partially overlapping variables. J. Biomed. Informatics Louis Adedapo Gomez, Jan Claassen, Samantha Kleinberg
2023	—	`conf`	A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. BIBM Ahmed Elhussein, Jude P. 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
2023	J	`jnl`	A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J. Biomed. Informatics 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
2023	J	`jnl`	Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J. Biomed. Informatics David J. Albers, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak
2020	Misc	`conf`	Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. AMIA David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
2019	Misc	`conf`	Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients. AMIA Tahsin T. Yavuz, Jan Claassen, Samantha Kleinberg
2018	—	`conf`	Automated Identification of Causal Moderators in Time-Series Data. CD@KDD Min Zheng, Jan Claassen, Samantha Kleinberg
2018	J	`jnl`	Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J. Biomed. Informatics David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, Andrew Goldstein, George Hripcsak
2018	Misc	`conf`	Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. AMIA David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
2015	J	`jnl`	Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. J. Biomed. Informatics Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg
2014	—	`conf`	Imputation of Missing Values in Time Series with Lagged Correlations. ICDM Workshops Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg
2012	Misc	`conf`	Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients. AMIA David J. Albers, Jan Claassen, George Hripcsak