A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome.

Autor: Kalluçi E; Department of Applied Mathematics, Faculty of Natural Sciences, University of Tirana, Tirana, Albania., Preni B; Department of Mathemat-ics, Faculty of Engineering Mathematics and Engineering Physics, Polytechnic University of Tirana, Tirana, Albania., Dhamo X; Department of Applied Mathematics, Faculty of Natural Sciences, University of Tirana, Tirana, Albania., Noka E; Department of Applied Mathematics, Faculty of Natural Sciences, University of Tirana, Tirana, Albania., Bardhi S; Department of Applied Statistics and Informatics, University of Tirana, Tirana, Albania., Macchia A; MAGI'S LAB, Rovereto (TN), Italy., Bonetti G; MAGI'S LAB, Rovereto (TN), Italy.; Department of Pharmaceutical Sciences, University of Perugia, Perugia, Italy., Dhuli K; MAGI'S LAB, Rovereto (TN), Italy., Donato K; MAGI EUREGIO, Bolzano, Italy.; MAGISNAT, Atlanta Tech Park, Peachtree Corners, GA, USA., Bertelli M; MAGI'S LAB, Rovereto (TN), Italy.; MAGI EUREGIO, Bolzano, Italy.; MAGISNAT, Atlanta Tech Park, Peachtree Corners, GA, USA., Zambrano LJM; Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, Madrid, Spain., Janaqi S; EuroMov Digital Health in Motion, University of Montpellier IMT Mines Ales, France.

Publikováno v: La Clinica terapeutica [Clin Ter] 2024 May-Jun; Vol. 175 (3), pp. 98-116.