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Jan Claassen
Publication Activity (10 Years)
Years Active: 2012-2023
Publications (10 Years): 8
Top Topics
Knn Classification
Caenorhabditis Elegans
Imputation Methods
Missing Values
Top Venues
J. Biomed. Informatics
AMIA
CD@KDD
BIBM
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Publications
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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)