 Connection
David Kao to Machine Learning
This is a "connection" page, showing publications David Kao has written about Machine Learning.
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Connection Strength |
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1.994 |
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Stevens LM, Linstead E, Hall JL, Kao DP. Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS. Circ Heart Fail. 2021 02; 14(2):e006799.
Score: 0.627
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Stevens LM, Mortazavi BJ, Deo RC, Curtis L, Kao DP. Recommendations for Reporting Machine Learning Analyses in Clinical Research. Circ Cardiovasc Qual Outcomes. 2020 10; 13(10):e006556.
Score: 0.613
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Kao DP. Intelligent Artificial Intelligence: Present Considerations and Future Implications of Machine Learning Applied to Electrocardiogram Interpretation. Circ Cardiovasc Qual Outcomes. 2019 09; 12(9):e006021.
Score: 0.568
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Kao D, Purohit S, Jhund P. Therapeutic futility and phenotypic heterogeneity in heart failure with preserved ejection fraction: what is the role of bionic learning? Eur J Heart Fail. 2020 01; 22(1):159-161.
Score: 0.144
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Segar MW, Hall JL, Jhund PS, Powell-Wiley TM, Morris AA, Kao D, Fonarow GC, Hernandez R, Ibrahim NE, Rutan C, Navar AM, Stevens LM, Pandey A. Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure. JAMA Cardiol. 2022 08 01; 7(8):844-854.
Score: 0.043
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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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