 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Katy Trinkley and Michael Rosenberg.
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Connection Strength |
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1.684 |
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Trinkley KE, Pell JM, Martinez DD, Maude NR, Hale G, Rosenberg MA. Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome. Appl Clin Inform. 2021 01; 12(1):190-197.
Score: 0.776
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Lowe RN, Wright G, Olivas L, Teel C, Suresh K, Macke LB, Sieja A, Rosenberg MA, Trinkley KE. Evaluating the prescribing and monitoring of medications associated with QTc-prolongation in the ambulatory care setting. J Eval Clin Pract. 2024 Apr; 30(3):385-392.
Score: 0.235
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Kim R, Suresh K, Rosenberg MA, Tan MS, Malone DC, Allen LA, Kao DP, Anderson HD, Tiwari P, Trinkley KE. A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure. Front Cardiovasc Med. 2023; 10:1169574.
Score: 0.227
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Trinkley KE, Dafoe A, Malone DC, Allen LA, Huebschmann A, Khazanie P, Lunowa C, Matlock DC, Suresh K, Rosenberg MA, Swat SA, Sosa A, Morris MA. Clinician challenges to evidence-based prescribing for heart failure and reduced ejection fraction: A qualitative evaluation. J Eval Clin Pract. 2023 12; 29(8):1363-1371.
Score: 0.227
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Simon ST, Trinkley KE, Malone DC, Rosenberg MA. Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis. J Med Internet Res. 2022 12 01; 24(12):e42163.
Score: 0.219
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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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