AI in Healthcare January 17, 2021
Cleveland Clinic researchers have used outpatient EHR data to build AI algorithms that accurately predict worsening asthma before it manifests in symptoms.
The tools could be used by primary care providers to head off adverse respiratory events and suboptimal healthcare utilization, according to a study published this month in Chest.
Joe Zein, MD, PhD, and colleagues trained and tested three machine learning models on outpatient data from more than 60,300 asthma patients followed at the Cleveland Clinic from 2010 to 2018.
They found three illustrative outcomes—treatment with oral corticosteroids, ER visits and hospitalization—were all best predicted by a machine learning algorithm called Light Gradient Boosting Machine (LightGBM), which specifically fits AI to predictive analytics.
“To our knowledge, we are the...
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