| Whole-genome sequencing surveillance and machine learning of the electronic health record for enhanced healthcare outbreak detection AJ Sundermann, J Chen, P Kumar, AM Ayres, ST Cho, C Ezeonwuka, ... Clinical Infectious Diseases 75 (3), 476-482, 2022 | 82 | 2022 |
| Automated data mining of the electronic health record for investigation of healthcare-associated outbreaks AJ Sundermann, JK Miller, JW Marsh, MI Saul, KA Shutt, M Pacey, ... Infection Control & Hospital Epidemiology 40 (3), 314-319, 2019 | 46 | 2019 |
| Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance AJ Sundermann, J Chen, JK Miller, MI Saul, KA Shutt, MP Griffith, ... Clinical Infectious Diseases 73 (3), e638-e642, 2021 | 36 | 2021 |
| Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: a systematic review and summary AJ Sundermann, J Chen, JK Miller, EM Martin, GM Snyder, D Van Tyne, ... Antimicrobial Stewardship & Healthcare Epidemiology 2 (1), e91, 2022 | 19 | 2022 |
| Statistical outbreak detection by joining medical records and pathogen similarity JK Miller, J Chen, A Sundermann, JW Marsh, MI Saul, KA Shutt, M Pacey, ... Journal of biomedical informatics 91, 103126, 2019 | 18 | 2019 |
| Novel prediction techniques based on clusterwise linear regression I Gitman, J Chen, E Lei, A Dubrawski arXiv preprint arXiv:1804.10742, 2018 | 14 | 2018 |
| Classifying unstructured clinical notes via automatic weak supervision C Gao, M Goswami, J Chen, A Dubrawski Machine Learning for Healthcare Conference, 673-690, 2022 | 12 | 2022 |
| Predicting neurological recovery with canonical autocorrelation embeddings M De-Arteaga, J Chen, P Huggins, J Elmer, G Clermont, A Dubrawski PloS one 14 (1), e0210966, 2019 | 8 | 2019 |
| Empirically derived sequence similarity thresholds to study the genomic epidemiology of plasmids shared among healthcare-associated bacterial pathogens D Evans, A Sundermann, M Griffith, VR Srinivasa, M Mustapha, J Chen, ... EBioMedicine 93, 2023 | 6 | 2023 |
| Using machine learning to support transfer of best practices in healthcare S Caldas, J Chen, A Dubrawski AMIA Annual Symposium Proceedings 2021, 265, 2021 | 4 | 2021 |
| Actionable intelligence in healthcare J Liebowitz, A Dawson CRC Press, 2017 | 4 | 2017 |
| Empirical genomic methods for tracking plasmid spread among healthcare-associated bacteria D Evans, A Sundermann, M Griffith, V Srinivasa, M Mustapha, J Chen, ... medRxiv, 2022.09. 09.22279653, 2022 | 2 | 2022 |
| Identification of sufferers of rare diseases using medical claims data J Chen, A Dubrawski Online Journal of Public Health Informatics 9 (1), 2017 | 2 | 2017 |
| Learning to extract actionable evidence from medical insurance claims data J Chen, A Dubrawski Actionable Intelligence in Healthcare, 219-240, 2017 | 1 | 2017 |
| Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data D Bethge, J Chen, O Grothe, J Elmer, A Dubrawski 2019 International Conference on Data Mining Workshops (ICDMW), 933-940, 2019 | | 2019 |
| Canonical Least Squares Clustering on Sparse Medical Data I Gitman, J Chen, A Dubrawski | | |
