首页|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)
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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.
SichuanPeople’s Republic of ChinaAsi aConnective Tissue Diseases and ConditionsCyborgsEmerging TechnologiesHe alth and MedicineInfectious DiseaseLung Diseases and ConditionsMachine Lea rningPneumoniaPulmonologyRespiratory Tract Diseases and ConditionsRespir atory Tract InfectionsSkin and Connective Tissue Diseases and Conditions
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