Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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494 * !
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Wed, 8/2/2017,
10:30 AM -
12:20 PM
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CC-311
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Statistical Methodologies for Identifying, Modeling, and Managing Subpopulations at Risk — Topic Contributed Papers
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Section on Statistics in Epidemiology , Health Policy Statistics Section , Section on Statistical Learning and Data Science
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Organizer(s): howard burkom, Johns Hopkins University Applied Physics Laboratory
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Chair(s): Suchi Saria, Johns Hopkins University
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10:35 AM
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Data Analysis Techniques for Large and Changing Populations
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Jason Lee, Johns Hopkins University Applied Physics Laboratory
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10:55 AM
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Machine Learning Methods in the Statistical Prediction of Health Outcomes
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William Padula, Johns Hopkins Bloomberg SPH
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11:15 AM
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A Comparison of Risk Adjustment Models Based on Traditional Statistical and Machine Learning Techniques
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Hong Kan ; Hsien-Yen Chang, Johns Hopkins Bloomberg School of Public Health ; Hadi Kharrazi, Johns Hopkins Bloomberg School of Public Health
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11:35 AM
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Combining Multiple Sources of Public Health Surveillance Information with Analytic Methods
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howard burkom, Johns Hopkins University Applied Physics Laboratory
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11:55 AM
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Discussant: Hadi Kharrazi, Center for Population Health IT, Johns Hopkins Bloomberg School of Public Health
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12:15 PM
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Floor Discussion
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