Article
Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation.
The American journal of cardiology - 1 Dec 2020
Abdul Ghffar Yasir, Osman Mohammed, Shrestha Sirish, Shaukat Faizan, Kagiyama Nobuyuki, Alkhouli Mohammed, Raybuck Bryan, Badhwar Vinay, Sengupta Partho P
Abstract excerpt
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illustrate the potential use of a semisupervised automated machine-learning (AutoML) pipeline for phenotyping patients who underwent transcatheter aortic valve implantation and identifying patient groups with similar clinical outcome. Using the Transcatheter Valve Therapy registry data, we divided 344 patients into 2...
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