Clinical applications of machine learning for prediction of incident atrial fibrillation from the general population: a nationwide cohort study

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Clinical applications of machine learning for prediction of incident atrial fibrillation from the general population: a nationwide cohort study

Session: New approaches to risk prediction

Topic: Big Data Analysis

Speaker: Associate Professor I. Kim (Seoul, KR)

Event: ESC Congress 2019

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Associate Professor In-Soo Kim

Gangnam Severance Hospital, Seoul (Korea (Republic of))

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New approaches to risk prediction

Speakers: Associate Professor I. Kim, Associate Professor A. Banerjee, Mr J. Lee, Ms J. Rouette, Professor K. Fox...

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ESC Congress 2019

31 August - 4 September 2019

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