Christopher G. Chute
Affiliations: | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
Biomedical Engineering, Health Care Management, Computer ScienceGoogle:
"Christopher Chute"Cross-listing: Biomedical Informatics
Parents
Sign in to add mentor| Frank Speizer | grad student | 1990 | Harvard School of Public Health (Epi Tree) | |
| (Phd Comm) | ||||
Children
Sign in to add trainee| Wei-Qi Wei | grad student | (Biomedical Informatics) | |
| Weiqi Wei | grad student | 2012 | UMN |
| Piper A. Svensson | grad student | 2013 | UMN |
BETA: Related publications
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Publications
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| Wei WQ, Guardo C, Gandireddy S, et al. (2023) Genetic and Survey Data Improves Performance of Machine Learning Model for Long COVID. Research Square |
| Pfaff ER, Girvin AT, Crosskey M, et al. (2023) De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. Journal of the American Medical Informatics Association : Jamia |
| Brandt PS, Kho A, Luo Y, et al. (2022) Characterizing variability of electronic health record-driven phenotype definitions. Journal of the American Medical Informatics Association : Jamia |
| Dikilitas O, Schaid DJ, Kosel ML, et al. (2020) Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups. American Journal of Human Genetics. 106: 707-716 |
| Fecho K, Ahalt SC, Arunachalam S, et al. (2019) Sex, Obesity, Diabetes, and Exposure to Particulate Matter among Patients with Severe Asthma: Scientific Insights from a Comparative Analysis of Open Clinical Data Sources during a Five-day Hackathon. Journal of Biomedical Informatics. 103325 |
| Pfaff ER, Champion J, Bradford RL, et al. (2019) Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study. Jmir Medical Informatics. 7: e15199 |
| Taylor CO, Lemke KW, Richards TM, et al. (2019) Comorbidity Characterization Among eMERGE Institutions: A Pilot Evaluation with the Johns Hopkins Adjusted Clinical Groups® System. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2019: 145-152 |
| Haendel MA, Chute CG, Robinson PN. (2018) Classification, Ontology, and Precision Medicine. The New England Journal of Medicine. 379: 1452-1462 |
| Stanaway IB, Hall TO, Rosenthal EA, et al. (2018) The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype. Genetic Epidemiology |
| Mosley JD, Feng Q, Wells QS, et al. (2018) A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers. Nature Communications. 9: 3522 |