Breast cancer metabolomics: from analytical platforms to multivariate data analysis. a review

C Silva, R Perestrelo, P Silva, H Tomás, JS Câmara - Metabolites, 2019 - mdpi.com
Cancer is a major health issue worldwide for many years and has been increasing
significantly. Among the different types of cancer, breast cancer (BC) remains the leading …

Patients undergoing surgery for oligometastatic oesophageal cancer survive for more than 2 years: bootstrapping systematic review data

D Schizas, KS Mylonas, P Kapsampelis… - Interactive …, 2020 - academic.oup.com
OBJECTIVES Oesophageal cancer oligometastasis is a state of limited systemic disease
characterized by˂ 5 metastases. Without surgery average survival is 4–12 months. We …

Development and internal validation of a novel predictive model for SDHB mutations in pheochromocytomas and retroperitoneal paragangliomas

Y Zhou, Y Gao, X Ma, T Li, Y Cui, Y Wang… - Frontiers in …, 2023 - frontiersin.org
Aim To develop and internally validate a novel predictive model for SDHB mutations in
pheochromocytomas and retroperitoneal paragangliomas (PPGLs). Methods Clinical data of …

[HTML][HTML] Analysis of risk factors and establishment of a risk prediction model for post-transplant diabetes mellitus after kidney transplantation

F Cheng, Q Li, J Wang, Z Wang, F Zeng… - Saudi Pharmaceutical …, 2022 - Elsevier
Introduction Post-transplant diabetes mellitus (PTDM) is a known side effect in transplant
recipients administered immunosuppressant drugs, such as tacrolimus. This study aimed to …

The effects of clinical learning environment and career adaptability on resilience: A mediating analysis based on a survey of nursing interns

Y Xu, W Zhang, J Wang, Z Guo… - Journal of Advanced …, 2024 - Wiley Online Library
Background The resilience education of intern nursing students has significant implications
for the development and improvement of the nursing workforce. The clinical internship …

ClickGene: an open cloud-based platform for big pan-cancer data genome-wide association study, visualization and exploration

JH Bi, YF Tong, ZW Qiu, XF Yang, J Minna, AF Gazdar… - BioData Mining, 2019 - Springer
Tremendous amount of whole-genome sequencing data have been provided by large
consortium projects such as TCGA (The Cancer Genome Atlas), COSMIC and so on, which …

Quantitative proteomics reveals pregnancy prognosis signature of polycystic ovary syndrome women based on machine learning

Y Wu, C Liu, J Huang, F Wang - Gynecological Endocrinology, 2024 - Taylor & Francis
Objective We aimed to screen and construct a predictive model for pregnancy loss in
polycystic ovary syndrome (PCOS) patients through machine learning methods. Methods …

Application Research of a High Turbulence Numerical Simulation Technique in a USBR Type III Stilling Basin.

X Meng, C Zhang, B Zhang, X Wu, W Wang… - Water …, 2024 - search.ebscohost.com
In view of the energy dissipation design of the USBR Type III stilling basin, which is
characterized by intense turbulent flow and complex flow patterns, a reliable mathematical …

R-squared measures for multilevel mixture models with random effects

SK Sterba, JD Rights - Structural Equation Modeling: A …, 2022 - Taylor & Francis
Multilevel regression mixtures involving both discrete latent classes and continuous random
effects are an increasingly popular approach for accommodating nested data structures …

Development of a diagnostic model focusing on nutritional indicators for frailty classification in people with chronic heart failure

Y Gu, C Li, J Yan, G Yin, G Lu, L Sha… - European Journal of …, 2022 - academic.oup.com
Aims Frailty has a great impact on the quality of life of patients with chronic heart failure
(CHF), which needs to be judged in time. To develop a diagnostic model based on …