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Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios

  • Smarti Reel
  • , Parminder S. Reel
  • , Zoran Erlic
  • , Laurence Amar
  • , Alessio Pecori
  • , Casper K. Larsen
  • , Martina Tetti
  • , Christina Pamporaki
  • , Cornelia Prehn
  • , Jerzy Adamski
  • , Aleksander Prejbisz
  • , Filippo Ceccato
  • , Carla Scaroni
  • , Matthias Kroiss
  • , Michael C. Dennedy
  • , Jaap Deinum
  • , Graeme Eisenhofer
  • , Katharina Langton
  • , Paolo Mulatero
  • , Martin Reincke
    • Gian Paolo Rossi, Livia Lenzini, Eleanor Davies, Anne Paule Gimenez-Roqueplo, Guillaume Assié, Anne Blanchard, Maria Christina Zennaro, Felix Beuschlein, Emily R. Jefferson
  • University of Dundee School of Medicine
  • University Hospital Zürich
  • Université Paris Descartes-Sorbonne Paris Cité
  • AP-HP
  • University of Turin
  • University Hospital Carl Gustav Carus
  • German Research Center for Environmental Health
  • National University of Singapore
  • University of Ljubljana
  • National Institute of Cardiology
  • Padua University Hospital
  • University of Würzburg
  • University of Wuerzburg
  • Ludwig-Maximilians-University
  • Radboud University Nijmegen Medical Center
  • University of Padova
  • University of Glasgow, G11 6NT
  • APHP Hospital Cochin

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

16 Citations (Scopus)

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Pharmacology, Toxicology and Pharmaceutical Science