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Random Forest Clustering Identifies Three Subgroups of β-Thalassemia with Distinct Clinical Severity
Autor:
Angela Vitrano, Khaled M. Musallam, Antonella Meloni, Sebastiano Addario Pollina, Mehran Karimi, Amal El-Beshlawy, Mahmoud Hajipour, Vito Di Marco, Saqib Hussain Ansari, Aldo Filosa, Paolo Ricchi, Adriana Ceci, Shahina Daar, Efthymia Vlachaki, Sylvia Titi Singer, Zaki A. Naserullah, Alessia Pepe, Salvatore Scondotto, Gabriella Dardanoni, Fedele Bonifazi, Vijay G. Sankaran, Elliott Vichinsky, Ali T. Taher, Aurelio Maggio, International Working Group on Thalassemia (IWG-THAL)
Publikováno v:
Thalassemia Reports, Vol 12, Iss 1, Pp 14-23 (2022)
In this work, we aimed to establish subgroups of clinical severity in a global cohort of β-thalassemia through unsupervised random forest (RF) clustering. We used a large global dataset of 7910 β-thalassemia patients and evaluated 19 indicators of
Externí odkaz:
https://doaj.org/article/aa15c48822b849b987d37e3cf47bfde0