Keywords: COPD; machine learning; data mining EN COPD machine learning data mining 641 642 2 06/18/21 20210701 NES 210701 The cornerstone of artificial intelligence (AI) is its inherent ability to learn from past experience, thus mimicking the human mind and deviating from traditional approaches with predefined rules. In terms of COPD subtypes characterization, COPDGene is to date the most comprehensive and extensive database, encompassing 10-year longitudinal clinical, imaging and genomic data from patients diagnosed with COPD of variable severity5; its primary purpose is to relate COPD phenotypes with underlying molecular and genetic patterns. The number of publications related to respiratory medicine that utilize AI techniques is increasing exponentially in the last few years1 with chronic obstructive pulmonary disease (COPD) accounting for a large amount of these studies.[Extracted from the article]

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