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Junying Wei on Muck Rack

Junying Wei

As seen in: Nature, PLOS ONE, BMJ Open, MDPI
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Articles

An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia

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By Junying Wei, Sun Yat-sen, Mingling Peng, Heshan Cao
| PLOS ONE
Discussion In this retrospective study using a large public ICU database, a ML model was developed and validated based on clinical features, which was subsequently deployed as a web application to create an robust and clinically applicable prediction tool for assessing in-hospital mortality in VAP patients.
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Comparison of ultrasound-guided and traditional localisation in intraspinal anesthesia: a systematic review and network meta-analysis

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By Yinzhou Zhang, Mingling Peng, Junying Wei, Jieling Huang
| BMJ Open Verified
Materials and methods We followed the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)4 and registered the meta-analysis and systematic review in the PROSPERO database and PROSPERO network on 28 November 2022 (registration number: CRD42022376041).
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Analysis of Flow Characteristics at the Inlet of a Circular Involute Variable Wall Thickness Scroll Expander

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By Junying Wei, Wenwen Chang, Chenrui Zhang, Guangxian Yin
| MDPI
4. Data Analysis 4.1. Flow Field Changes 4.1.1. Working Cavity Pressure Field According to the shape of the air inlet, the circular, elliptical, and double-arc groove are defined as S1, S2, and S3 conditions, respectively. As shown in Figure 9, the working cavity of a circular involute variable wall thickness scroll expander includes a suction cavity, an expansion cavity I, an expansion cavity II, an exhaust cavity, and a back pressure cavity.
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