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E

Eman Leung

City University of Hong Kong
H指数:14
被引数:1,168

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Profiling unmet post-acute care needs of an inpatient population in Hong Kong: can real-world data and machine learning algorithms bring precision to tertiary prevention in the community?

评估香港住院患者未满足的急性后期护理需求:真实世界数据和机器学习算法能否为社区三级预防带来精准性?

2025-12-010
PRE
The MEFIER Score-A Risk Score to Stratify Infective Endocarditis in Patients With Enterococcus faecalis Bacteremia Based on an 11-Year Territory-Wide Cohort

MEFIER评分——一种基于11年区域队列研究,用于对肠球菌属粪肠球菌菌血症患者进行感染性心内膜炎风险分层的评分系统

2025-06-011
OAAI
Association between asthma and COVID-19 severity during Omicron epidemic: a retrospective cohort study using real-world data

Omicron流行期间哮喘与新型冠状病毒肺炎严重程度之间的关系: 一项使用真实数据的回顾性队列研究

2024-07-042
OAAI