• Clinical Synthetic Data Generation to Predict and Identify Risk Factors for Cardiovascular Diseases 

      García-Vicente, Clara; Chushig-Muzo, David; Mora-Jimenez, Inmaculada; Fabelo, Himar; Gram, Inger Torhild; Løchen, Maja-Lisa; Granja, Conceição; Soguero-Ruiz, Cristina (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-01-21)
      Noncommunicable diseases are among the most significant health threats in our society, being cardiovascular diseases (CVD) the most prevalent. Because of the severity and prevalence of these illnesses, early detection and prevention are critical for reducing the worldwide health and economic burden. Though machine learning (ML) methods usually outperform conventional approaches in many domains, class ...