Sichuan University Reports Findings in Pneumonia (An explainable machine learnin g-based model to predict intensive care unit admission among patients with commu nity-acquired pneumonia and connective tissue disease)
Sichuan University Reports Findings in Pneumonia (An explainable machine learnin g-based model to predict intensive care unit admission among patients with commu nity-acquired pneumonia and connective tissue disease)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Lung Diseases and Cond itions - Pneumonia is the subject of a report. According to news reporting out o f Sichuan, People’s Republic of China, by NewsRx editors, research stated, “Ther e is no individualized prediction model for intensive care unit (ICU) admission on patients with community-acquired pneumonia (CAP) and connective tissue diseas e (CTD) so far. In this study, we aimed to establish a machine learning-based mo del for predicting the need for ICU admission among those patients.” Funders for this research include Science and Technology Department of Sichuan P rovince, West China Hospital Postdoctoral Science Foundation, China Postdoctoral Science Foundation, National Natural Science Foundation of China.
Key words
Sichuan/People’s Republic of China/Asi a/Connective Tissue Diseases and Conditions/Cyborgs/Emerging Technologies/He alth and Medicine/Infectious Disease/Lung Diseases and Conditions/Machine Lea rning/Pneumonia/Pulmonology/Respiratory Tract Diseases and Conditions/Respir atory Tract Infections/Skin and Connective Tissue Diseases and Conditions
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