George Hripcsak to Electronic Health Records
This is a "connection" page, showing publications George Hripcsak has written about Electronic Health Records.
Connection Strength
1.204
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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J Biomed Inform. 2018 10; 86:149-159.
Score: 0.285
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EHR-based phenotyping: Bulk learning and evaluation. J Biomed Inform. 2017 06; 70:35-51.
Score: 0.259
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Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data. AMIA Annu Symp Proc. 2016; 2016:779-788.
Score: 0.256
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Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. Brief Bioinform. 2018 09 28; 19(5):863-877.
Score: 0.072
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Disease Heritability Inferred from Familial Relationships Reported in Medical Records. Cell. 2018 06 14; 173(7):1692-1704.e11.
Score: 0.070
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Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif Intell Med. 2017 Sep; 81:12-32.
Score: 0.065
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Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations. PLoS One. 2014; 9(6):e96443.
Score: 0.053
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The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting. J Am Med Inform Assoc. 2013 Jan 01; 20(1):134-40.
Score: 0.047
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Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J Am Med Inform Assoc. 2021 07 14; 28(7):1480-1488.
Score: 0.022
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Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study. BMJ. 2021 05 11; 373:n1038.
Score: 0.021
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Challenges with quality of race and ethnicity data in observational databases. J Am Med Inform Assoc. 2019 08 01; 26(8-9):730-736.
Score: 0.019
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LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins. Circulation. 2018 10 23; 138(17):1839-1849.
Score: 0.018
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Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes. Am J Hum Genet. 2018 07 05; 103(1):58-73.
Score: 0.018