Use of multi-modal data and machine learning to improve cardiovascular disease care

HIGHLIGHTS

  • who: Elsie Gyang Ross from the Division of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, United States have published the research work: Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care, in the Journal: (JOURNAL)
  • what: ER acknowledges support from the National Institutes of Health, National Heart, Lung, and Blood Institute (K01HL148639-02) and the Doris Duke Charitable Foundation`s 2021 Clinical Scientist Development Award.
  • how: Based on their results the authors concluded that fusion models can be used to automate the detection of . . .

     

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