 Connection
Frank Scott to Electronic Health Records
This is a "connection" page, showing publications Frank Scott has written about Electronic Health Records.
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Connection Strength |
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0.300 |
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Vajravelu RK, Scott FI, Mamtani R, Li H, Moore JH, Lewis JD. Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data. J Am Med Inform Assoc. 2018 07 01; 25(7):780-789.
Score: 0.097
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Scott FI, Mamtani R, Haynes K, Goldberg DS, Mahmoud NN, Lewis JD. Validation of a coding algorithm for intra-abdominal surgeries and adhesion-related complications in an electronic medical records database. Pharmacoepidemiol Drug Saf. 2016 Apr; 25(4):405-12.
Score: 0.082
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Mamtani R, Haynes K, Finkelman BS, Scott FI, Lewis JD. Distinguishing incident and prevalent diabetes in an electronic medical records database. Pharmacoepidemiol Drug Saf. 2014 Feb; 23(2):111-8.
Score: 0.071
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Jones B, Scott FI, Espinoza J, Laborde S, Chambers M, Wani S, Edmundowicz S, Austin G, Pell J, Patel SG. Leveraging electronic medical record functionality to capture adenoma detection rate. Sci Rep. 2022 06 11; 12(1):9679.
Score: 0.032
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Mamtani R, Haynes K, Boursi B, Scott FI, Goldberg DS, Keefe SM, Vaughn DJ, Malkowicz SB, Lewis JD. Validation of a coding algorithm to identify bladder cancer and distinguish stage in an electronic medical records database. Cancer Epidemiol Biomarkers Prev. 2015 Jan; 24(1):303-7.
Score: 0.019
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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