 Connection
Frederick Masoudi to Models, Statistical
This is a "connection" page, showing publications Frederick Masoudi has written about Models, Statistical.
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Connection Strength |
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0.168 |
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Arnold SV, Masoudi FA, Rumsfeld JS, Li Y, Jones PG, Spertus JA. Derivation and validation of a risk standardization model for benchmarking hospital performance for health-related quality of life outcomes after acute myocardial infarction. Circulation. 2014 Jan 21; 129(3):313-20.
Score: 0.074
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Huang C, Li SX, Mahajan S, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Netw Open. 2019 11 01; 2(11):e1916021.
Score: 0.028
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Mortazavi BJ, Bucholz EM, Desai NR, Huang C, Curtis JP, Masoudi FA, Shaw RE, Negahban SN, Krumholz HM. Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention. JAMA Netw Open. 2019 07 03; 2(7):e196835.
Score: 0.027
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Sherwood MW, Brennan JM, Ho KK, Masoudi FA, Messenger JC, Weaver WD, Dai D, Peterson ED. The impact of extreme-risk cases on hospitals' risk-adjusted percutaneous coronary intervention mortality ratings. JACC Cardiovasc Interv. 2015 Jan; 8(1 Pt A):10-6.
Score: 0.020
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Wimmer NJ, Spertus JA, Kennedy KF, Anderson HV, Curtis JP, Weintraub WS, Singh M, Rumsfeld JS, Masoudi FA, Yeh RW. Clinical prediction model suitable for assessing hospital quality for patients undergoing carotid endarterectomy. J Am Heart Assoc. 2014 Jun 17; 3(3):e000728.
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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