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Development of a decision tree to assess the severity and prognosis of stable COPD

✍ Scribed by Esteban, C.; Arostegui, I.; Moraza, J.; Aburto, M.; Quintana, J. M.; Perez-Izquierdo, J.; Aizpiri, S.; Capelastegui, A.

Book ID
120278955
Publisher
European Respiratory Society
Year
2011
Tongue
English
Weight
313 KB
Volume
38
Category
Article
ISSN
0903-1936

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Use of a nonlinear prediction method, such as machine learning, is a valuable choice in predicting progression rate of disease when applied to the highly variable and correlated biological data such as those in patients with chronic lymphocytic leukemia (CLL). In this work, decision-tree approach to