首页|Department of Tuberculosis Reports Findings in Chronic Obstructive Pulmonary Dis ease (Development and Validation of Machine Learning-Based Models for Prediction of Intensive Care Unit Admission and In-Hospital Mortality in Patients with Acu te …)
Department of Tuberculosis Reports Findings in Chronic Obstructive Pulmonary Dis ease (Development and Validation of Machine Learning-Based Models for Prediction of Intensive Care Unit Admission and In-Hospital Mortality in Patients with Acu te …)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Lung Diseases and Cond itions - Chronic Obstructive PulmonaryDisease is the subject of a report. Accor ding to news reporting originating in Chengdu, People’s Republicof China, by Ne wsRx journalists, research stated, “This present work focused on predicting prognostic outcome of inpatients developing acute exacerbation of chronic obstructiv e pulmonary disease (AECOPD),and enhancing patient monitoring and treatment by using objective clinical indicators. The presentretrospective study enrolled 32 2 AECOPD patients.”
ChengduPeople’s Republic of ChinaAsi aChronic Obstructive Pulmonary DiseaseCyborgsEmerging TechnologiesHealth and MedicineHospitalsLung Diseases and ConditionsMachine LearningPulmon ary DiseaseRisk and Prevention
NETL
NSTL
