 Connection
Sridharan Raghavan to Machine Learning
This is a "connection" page, showing publications Sridharan Raghavan has written about Machine Learning.
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Connection Strength |
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0.896 |
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Raghavan S, Josey K, Bahn G, Reda D, Basu S, Berkowitz SA, Emanuele N, Reaven P, Ghosh D. Generalizability of heterogeneous treatment effects based on causal forests applied to two randomized clinical trials of intensive glycemic control. Ann Epidemiol. 2022 01; 65:101-108.
Score: 0.593
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Edward JA, Josey K, Bahn G, Caplan L, Reusch JEB, Reaven P, Ghosh D, Raghavan S. Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis. Cardiovasc Diabetol. 2022 04 27; 21(1):58.
Score: 0.157
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Basu S, Raghavan S, Wexler DJ, Berkowitz SA. Characteristics Associated With Decreased or Increased Mortality Risk From Glycemic Therapy Among Patients With Type 2 Diabetes and High Cardiovascular Risk: Machine Learning Analysis of the ACCORD Trial. Diabetes Care. 2018 03; 41(3):604-612.
Score: 0.116
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Marzec L, Raghavan S, Banaei-Kashani F, Creasy S, Melanson EL, Lange L, Ghosh D, Rosenberg MA. Device-measured physical activity data for classification of patients with ventricular arrhythmia events: A pilot investigation. PLoS One. 2018; 13(10):e0206153.
Score: 0.031
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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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