Application of machine learning algorithms to predict loss of asthma control: A post-hoc analysis of INCONTRO study

S. Necander (Gothenburg, Sweden), A. Teixeira (Cambridge, United Kingdom), V. Chaudhuri (Cambridge, United Kingdom), M. Hashemi (Gothenburg, Sweden), R. Pálmer (Gothenburg, Sweden), K. Korsback (Gothenburg, Sweden), C. Pedrinaci (Cambridge, United Kingdom), I. Psallidas (Cambridge, United Kingdom)

Source: Virtual Congress 2020 – Clinical characteristics and diagnostic tools for phenotyping asthma and COPD
Session: Clinical characteristics and diagnostic tools for phenotyping asthma and COPD
Session type: E-poster session
Number: 206
Disease area: Airway diseases

Congress or journal article abstractE-poster

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S. Necander (Gothenburg, Sweden), A. Teixeira (Cambridge, United Kingdom), V. Chaudhuri (Cambridge, United Kingdom), M. Hashemi (Gothenburg, Sweden), R. Pálmer (Gothenburg, Sweden), K. Korsback (Gothenburg, Sweden), C. Pedrinaci (Cambridge, United Kingdom), I. Psallidas (Cambridge, United Kingdom). Application of machine learning algorithms to predict loss of asthma control: A post-hoc analysis of INCONTRO study. 206

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