University of Foggia Reports Findings in Obstructive Sleep Apnea (Exploring phen otypes to improve long-term mortality risk stratification in obstructive sleep a pnea through a machine learning approach: an observational cohort study)

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外文摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Respiratory Tract Dise ases and Conditions - Obstructive SleepApnea is the subject of a report. Accord ing to news reporting originating in Foggia, Italy, by NewsRxjournalists, resea rch stated, “Obstructive sleep apnea (OSA) is a heterogeneous sleep disorder for whichthe identification of phenotypes might help for risk stratification for l ong-term mortality. Thus, the aim of the study was to identify distinct phenotyp es of OSA and to study the association of phenotypes featureswith long-term mor tality by using machine learning.”

外文关键词：

FoggiaItalyEuropeApneaClinical R esearchClinical Trials and StudiesCraniofacialCyborgsEmerging Technologi esHealth and MedicineMachine LearningObstructive Sleep ApneaOtolaryngolo gyPulmonologyRespiration DisordersRespiratory Tract Diseases and Condition sRisk and PreventionSleep ApneaSleep Diseases and ConditionsSleep Disord ers

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Dec.26)