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

• Bernard Aguilaniu ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

  * E-mail: b.aguilaniu@gmail.com

  Affiliation Faculty of Medicine and Pharmacy, Grenoble Alps University, Grenoble, La Tronche, France

  https://orcid.org/0000-0002-9063-9881

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• David Hess,

  Roles Data curation, Formal analysis, Funding acquisition, Project administration, Resources, Software, Writing – review & editing

  Affiliation Colibri-Pneumo Program, Association for Consolidation of Knowledge and Practices of Pulmonology, Grenoble, France

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• Eric Kelkel,

  Roles Investigation, Project administration, Writing – review & editing

  Affiliation Centre Hospitalier Metropole Savoie, Chambery, France

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• Amandine Briault,

  Roles Investigation, Writing – review & editing

  Affiliation CHU Grenoble Alpes, La Tronche, France

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• Marie Destors,

  Roles Investigation, Writing – review & editing

  Affiliation CHU Grenoble Alpes, La Tronche, France

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• Jacques Boutros,

  Roles Investigation, Writing – review & editing

  Affiliation Department of Pulmonary Medicine and Oncology, CHU de Nice, FHU OncoAge, Université Côte d’Azur, Nice, France

  https://orcid.org/0000-0002-6468-1648

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• Pei Zhi Li,

  Roles Data curation, Formal analysis, Methodology

  Affiliation Respiratory Epidemiology and Clinical Research Unit, McGill University, Montreal, QC, Canada

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• Anestis Antoniadis

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliations Jean Kuntzmann Laboratory, Grenoble, France, Department of Statistical Sciences, University of Cape Town, Rondebosch, Cape Town, Western Cape, South Africa

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