A machine learning approach to suspect excessive inactivity in COPD patients using non-activity-related clinical data

B. Aguilaniu (La Tronche, France), E. Kelkel (Chambéry, France), A. Rigal (Grenoble, France), D. Hess (Grenoble, France), A. Briault (La Tronche, France), M. Destors (La Tronche, France), J. Boutros (Nice, France), P. Zhi Li (Montréal, Canada), A. Antoniadis (Western Cap, France)

Source: Virtual Congress 2021 – New approaches to pulmonary rehabilitation and chronic care
Session: New approaches to pulmonary rehabilitation and chronic care
Session type: E-poster
Number: 2114

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B. Aguilaniu (La Tronche, France), E. Kelkel (Chambéry, France), A. Rigal (Grenoble, France), D. Hess (Grenoble, France), A. Briault (La Tronche, France), M. Destors (La Tronche, France), J. Boutros (Nice, France), P. Zhi Li (Montréal, Canada), A. Antoniadis (Western Cap, France). A machine learning approach to suspect excessive inactivity in COPD patients using non-activity-related clinical data. 2114

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