Development and validation of an interpretable machine learning model for predicting left atrial thrombus or spontaneous echo contrast in non-valvular atrial fibrillation patients

• Chaoqun Huang,

  Roles Formal analysis, Software, Writing – original draft

  Affiliation Department of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, Jilin Province, China

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• Shangzhi Shu,

  Roles Investigation, Software, Validation

  Affiliation Department of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, Jilin Province, China

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• Miaomiao Zhou ,

  Contributed equally to this work with: Miaomiao Zhou, Zhenming Sun

  Roles Data curation, Formal analysis, Methodology

  Affiliation Department of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, Jilin Province, China

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• Zhenming Sun ,

  Contributed equally to this work with: Miaomiao Zhou, Zhenming Sun

  Roles Data curation, Formal analysis, Methodology, Software

  Affiliation Department of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, Jilin Province, China

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• Shuyan Li

  Roles Supervision, Writing – review & editing

  * E-mail: li_sy@jlu.edu.cn

  Affiliation Department of Cardiovascular Medicine, The First Bethune Hospital of Jilin University, Changchun, Jilin Province, China

  https://orcid.org/0009-0009-3537-1972

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