Dweekat相关文献与解析，生知库 | 链接生命科学的每一步

Catheter-associated urinary tract infections in critical care: Understanding incidence, risk factors, and pathogenic causes in Palestine

重症监护中导尿管相关尿路感染：了解巴勒斯坦的发病率、危险因素和致病原因

doi:10.1371/journal.pone.0309755

Rabi, Razan; Enaya, Ahmad; Jomaa, Dana Mufeed; Dweekat, Mo'tasem Z; Raddad, Shahd; Saqfalhait, Zain Tareq; Abu-Gaber, Dina

炎症/感染

发表日期：2024

文献求助收藏

Germ Cell Tumor Complicated by Mediastinal Mass Syndrome: A Report of Cardiac Arrest to Full Recovery

生殖细胞肿瘤并发纵隔肿块综合征：一例从心脏骤停到完全康复的病例报告

期刊:Cureus Journal of Medical Science

影响因子:1.3

doi:10.7759/cureus.46445

Odeh, Razan; Dweekat, Mo'tasem; Shakhshir, Ali

An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur

一个集成了多方面机器学习模型的系统，用于预测医院获得性压力性损伤（褥疮）的发生时间和方式

期刊:International Journal of Environmental Research and Public Health

影响因子:

doi:10.3390/ijerph20010828

Dweekat, Odai Y; Lam, Sarah S; McGrath, Lindsay

发表日期：2023

文献求助收藏

Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review

机器学习技术、应用及在压疮（褥疮）管理中的潜在未来机遇：系统性综述

期刊:International Journal of Environmental Research and Public Health

影响因子:

doi:10.3390/ijerph20010796

Dweekat, Odai Y; Lam, Sarah S; McGrath, Lindsay

发表日期：2023

文献求助收藏

Causal Analysis of Learning Performance Based on Bayesian Network and Mutual Information

基于贝叶斯网络和互信息的学习性能因果分析

期刊:International Journal of Environmental Research and Public Health

影响因子:

doi:10.3390/ijerph20064911

Dweekat, Odai Y; Lam, Sarah S; McGrath, Lindsay; Chen, Jing; Feng, Jun; Hu, Jingzhao; Sun, Xia

发表日期：2019

文献求助收藏

First recorded isolation of Mycobacterium kansasii in a nonendemic setting

首次在非流行地区分离出堪萨斯分枝杆菌

Catheter-associated urinary tract infections in critical care: Understanding incidence, risk factors, and pathogenic causes in Palestine

重症监护中导尿管相关尿路感染：了解巴勒斯坦的发病率、危险因素和致病原因

Germ Cell Tumor Complicated by Mediastinal Mass Syndrome: A Report of Cardiac Arrest to Full Recovery

生殖细胞肿瘤并发纵隔肿块综合征：一例从心脏骤停到完全康复的病例报告

An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur

一个集成了多方面机器学习模型的系统，用于预测医院获得性压力性损伤（褥疮）的发生时间和方式

Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review

机器学习技术、应用及在压疮（褥疮）管理中的潜在未来机遇：系统性综述

Causal Analysis of Learning Performance Based on Bayesian Network and Mutual Information

基于贝叶斯网络和互信息的学习性能因果分析