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Liying He on Muck Rack

Liying He

As seen in: Color Research & Application, Nature, MDPI, Taylor & Francis Online, Dove Medical Press, UroToday
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Articles

Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study.

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By Liying He, Yin Chen, Qiang Ma
| UroToday Verified
Whether to perform concurrent anti-incontinence surgery (AIS) during pelvic floor reconstruction (PFR) remains controversial. Traditional logistic regression (LR) models for predicting postoperative stress urinary incontinence (SUI) are limited by their inability to capture complex non-linear relationships and high-order interactions among predictors.
Open in Who Shared Issue with article?

Internalized components of membrane attack complexes disrupt proteostasis and acquire alarmin-like properties

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By Guiyu Song, Zihan Ma, Matthew Fan, Liying He, Yulong Lan, Weihao Li, Zhengtao Jiang, Quan Jiang, Dylan Noone, Andrea Nans, Kamal L. Nahas, Mahsa Nouri Barkestani, Shaoxun Wang, Qianxun Wang, Pengwei Ren, Haitian Zhou, Justin Johnson, Clancy Mullan, Xiangyu Gong, Doryen Bubeck, Gilbert Moeckel, Michael Mak, George Tellides, Dan Jane-Wit, Jolin Cheng, Yinuo Zang
| Nature Verified
Abstract Immune effects of membrane attack complexes (MAC) have been widely attributed to their abilities to cause cell death. Here, we show that the MAC component, C9, forms non-cytolytic aggregates with pro-inflammatory effects. Intracellular aggregates of C9 are detected within inflamed tissues of patients in association with endothelial cell (EC) activation but not increased cell death.
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Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study

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By Liying He, Yin Chen, Qiang Ma
| Taylor & Francis Online
Abstract Background Whether to perform concurrent anti-incontinence surgery (AIS) during pelvic floor reconstruction (PFR) remains controversial. Traditional logistic regression (LR) models for predicting postoperative stress urinary incontinence (SUI) are limited by their inability to capture complex non-linear relationships and high-order interactions among predictors.
Open in Who Shared Issue with article?
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