Rosenberg MA - Search Results

1

Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome.

Trinkley KE, Pell JM, Martinez DD, Maude NR, Hale G, Rosenberg MA. Trinkley KE, et al. Among authors: rosenberg ma. Appl Clin Inform. 2021 Jan;12(1):190-197. doi: 10.1055/s-0041-1724043. Epub 2021 Mar 10. Appl Clin Inform. 2021. PMID: 33694143 Free PMC article.

2

Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data.

Simon ST, Mandair D, Tiwari P, Rosenberg MA. Simon ST, et al. Among authors: rosenberg ma. J Cardiovasc Pharmacol Ther. 2021 Jul;26(4):335-340. doi: 10.1177/1074248421995348. Epub 2021 Mar 8. J Cardiovasc Pharmacol Ther. 2021. PMID: 33682475 Free PMC article.

3

Interpretable Machine Learning Prediction of Drug-Induced QT Prolongation: Electronic Health Record Analysis.

Simon ST, Trinkley KE, Malone DC, Rosenberg MA. Simon ST, et al. Among authors: rosenberg ma. J Med Internet Res. 2022 Dec 1;24(12):e42163. doi: 10.2196/42163. J Med Internet Res. 2022. PMID: 36454608 Free PMC article.

4

Common Genetic Variant Risk Score Is Associated With Drug-Induced QT Prolongation and Torsade de Pointes Risk: A Pilot Study.

Strauss DG, Vicente J, Johannesen L, Blinova K, Mason JW, Weeke P, Behr ER, Roden DM, Woosley R, Kosova G, Rosenberg MA, Newton-Cheh C. Strauss DG, et al. Among authors: rosenberg ma. Circulation. 2017 Apr 4;135(14):1300-1310. doi: 10.1161/CIRCULATIONAHA.116.023980. Epub 2017 Feb 17. Circulation. 2017. PMID: 28213480 Free PMC article.

5

Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation.

Tiwari P, Colborn KL, Smith DE, Xing F, Ghosh D, Rosenberg MA. Tiwari P, et al. Among authors: rosenberg ma. JAMA Netw Open. 2020 Jan 3;3(1):e1919396. doi: 10.1001/jamanetworkopen.2019.19396. JAMA Netw Open. 2020. PMID: 31951272 Free PMC article.

6

Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data.

Mandair D, Tiwari P, Simon S, Colborn KL, Rosenberg MA. Mandair D, et al. Among authors: rosenberg ma. BMC Med Inform Decis Mak. 2020 Oct 2;20(1):252. doi: 10.1186/s12911-020-01268-x. BMC Med Inform Decis Mak. 2020. PMID: 33008368 Free PMC article.

7

Trusting Magic: Interpretability of Predictions From Machine Learning Algorithms.

Rosenberg MA. Rosenberg MA. Circulation. 2021 Mar 30;143(13):1299-1301. doi: 10.1161/CIRCULATIONAHA.121.053733. Epub 2021 Mar 29. Circulation. 2021. PMID: 33779269 Free PMC article. No abstract available.

8

Machine Learning Methodologies for Prediction of Rhythm-Control Strategy in Patients Diagnosed With Atrial Fibrillation: Observational, Retrospective, Case-Control Study.

Kim RS, Simon S, Powers B, Sandhu A, Sanchez J, Borne RT, Tumolo A, Zipse M, West JJ, Aleong R, Tzou W, Rosenberg MA. Kim RS, et al. Among authors: rosenberg ma. JMIR Med Inform. 2021 Dec 6;9(12):e29225. doi: 10.2196/29225. JMIR Med Inform. 2021. PMID: 34874889 Free PMC article.

9

Qualitative Evaluation of an Artificial Intelligence-Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study.

Stacy J, Kim R, Barrett C, Sekar B, Simon S, Banaei-Kashani F, Rosenberg MA. Stacy J, et al. Among authors: rosenberg ma. JMIR Form Res. 2022 Aug 11;6(8):e36443. doi: 10.2196/36443. JMIR Form Res. 2022. PMID: 35969422 Free PMC article.

10

Validation of Polygenic Scores for QT Interval in Clinical Populations.

Rosenberg MA, Lubitz SA, Lin H, Kosova G, Castro VM, Huang P, Ellinor PT, Perlis RH, Newton-Cheh C. Rosenberg MA, et al. Circ Cardiovasc Genet. 2017 Oct;10(5):e001724. doi: 10.1161/CIRCGENETICS.117.001724. Circ Cardiovasc Genet. 2017. PMID: 28986454 Free PMC article.

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