Ling Yuan

Sep 30, 2024 | journals.plos.org | Ling Yuan |Xinyi Xu |Ping Sun |Hai Yu

Loading metrics Open Access Peer-reviewedResearch Article Citation: Yuan L, Xu X, Sun P, Yu Hp, Wei YZ, Zhou Jj (2024) Research of multi-label text classification based on label attention and correlation networks. PLoS ONE 19(9): e0311305. https://doi.org/10.1371/journal.pone.0311305Editor: Tianlin Zhang, University of the Chinese Academy of Sciences, CHINAReceived: July 7, 2024; Accepted: September 12, 2024; Published: September 30, 2024Copyright: © 2024 Yuan et al.

Sep 17, 2024 | onlinelibrary.wiley.com | Wei Zhang |Ling Yuan |Limei Ou |Fengchun Fan

CONFLICT OF INTEREST STATEMENT The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. REFERENCES (2006). Family adjustment and adaptation with children with down syndrome. Focus on Exceptional Children, 38(6), 1–20. https://doi.org/10.17161/foec.v38i6.6820 , , & (2016). What is resilience? An integrative review of the empirical literature.

May 31, 2024 | translational-medicine.biomedcentral.com | Guanrong Wu |Yijun Hu |Anyi Liang |Zijing Du |Yanhua Liang |Yuxiang Zheng | +13 more

Diabetic macular edema (DME) is the leading cause of visual impairment in patients with diabetes mellitus (DM). The goal of early detection has not yet achieved due to a lack of fast and convenient methods. Therefore, we aim to develop and validate a prediction model to identify DME in patients with type 2 diabetes mellitus (T2DM) using easily accessible systemic variables, which can be applied to an ophthalmologist-independent scenario. In this four-center, observational study, a total of 1994 T2DM patients who underwent routine diabetic retinopathy screening were enrolled, and their information on ophthalmic and systemic conditions was collected. Forward stepwise multivariable logistic regression was performed to identify risk factors of DME. Machine learning and MLR (multivariable logistic regression) were both used to establish prediction models. The prediction models were trained with 1300 patients and prospectively validated with 104 patients from Guangdong Provincial People’s Hospital (GDPH). A total of 175 patients from Zhujiang Hospital (ZJH), 115 patients from the First Affiliated Hospital of Kunming Medical University (FAHKMU), and 100 patients from People’s Hospital of JiangMen (PHJM) were used as external validation sets. Area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity, and specificity were used to evaluate the performance in DME prediction. The risk of DME was significantly associated with duration of DM, diastolic blood pressure, hematocrit, glycosylated hemoglobin, and urine albumin-to-creatinine ratio stage. The MLR model using these five risk factors was selected as the final prediction model due to its better performance than the machine learning models using all variables. The AUC, ACC, sensitivity, and specificity were 0.80, 0.69, 0.80, and 0.67 in the internal validation, and 0.82, 0.54, 1.00, and 0.48 in prospective validation, respectively. In external validation, the AUC, ACC, sensitivity and specificity were 0.84, 0.68, 0.90 and 0.60 in ZJH, 0.89, 0.77, 1.00 and 0.72 in FAHKMU, and 0.80, 0.67, 0.75, and 0.65 in PHJM, respectively. The MLR model is a simple, rapid, and reliable tool for early detection of DME in individuals with T2DM without the needs of specialized ophthalmologic examinations.

Feb 24, 2024 | mdpi.com | Hao Zhou |Qi Luo |Ling Yuan

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Oct 20, 2023 | infobae.com | Ling Yuan

Ling (Selena) Yuan es una consolidada ejecutiva de recursos humanos, con más de 16 años de experiencia en la formulación de estrategias de talento innovadoras e integradas.; (Nota de arte: una fotografía y una ilustración acompañan a este artículo). Te puede interesar: Convierta a su jefe en patrocinador De: HBR.orgMuchos gerentes tienden a pasar por alto para puestos gerenciales a los empleados altamente calificados.