Machine learning reveals sex differences in clinical features of acute exacerbation of chronic obstructive pulmonary disease: a multicenter cross-sectional study

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  • who: ufeffZhihongufeff ufeffChenufeff and colleagues from the Italy First Affiliated Hospital of Henan University of have published the article: Machine learning reveals sex differences in clinical features of acute exacerbation of chronic obstructive pulmonary disease: A multicenter cross-sectional study, in the Journal: (JOURNAL) of 28/03/2023
  • what: The aim of the study was to answer an interesting question of whether the clinical presentations differ by sex in patients with AECOPD. In the study , the comprehensive laboratory parameters, including blood routine, arterial blood gases (ABG), inflammatory parameters, electrolytes, liver function, and renal frontiersin.org . . .

     

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