Diagnosis-related groups study of uterine leiomyoma patients based on E-CHAID by Zhi Zou, Dan Deng

“…The data of front sheet of the medical record of each UL patient were retrospectively extracted. Mann-Whitney U test and Kruskal-Wallis H test, and subsequent multivariate logistic regression analysis were used to identify the significant factor influencing the hospitalization cost. …”
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Exploring Global Interest in Propolis, Nanosilver, and Biomaterials: Insights and Implications for Dentistry from Big Data Analytics by Magdalena Sycińska-Dziarnowska, Liliana Szyszka-Sommerfeld, Krzysztof Woźniak, Gianrico Spagnuolo

“…Search data were extracted, normalized, and analyzed using multivariate time series methods, including vector autoregression (VAR) modeling, Impulse Response Function (IRF) analysis, and forecast error variance decomposition (FEVD). …”
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Impaired sensitivity to thyroid hormones is associated with all-cause and cause-specific mortality among chronic kidney disease patients: results from National Health and Nutrition... by Chan Liu, Xiaoxiao Zhu, Dingding Wang, Naya Huang, Wei Chen

“…After multivariate adjustment, resistance to thyroid hormone was significantly associated with higher all-cause and CVD mortality. …”
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Integrated prognostic assessment of apoptosis and chemotherapy related gene in bladder cancer: a prognostic signature by Keyuan Zhao, Gang Xu, Jing Jin, Chao Peng, Jiajun Chen, Yulei Li, Weihao Wang, Shouhua Pan

“…Additionally, we conducted analyses on the risk model using methods such as Kaplan–Meier log-rank test, principal component analysis, time-dependent ROC curve analysis, uni-variate analysis, and multivariate Cox regression analysis. …”
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Machine learning-based seismic response forecasting using feature mapping algorithms and scientometric analysis of nailed vertical excavation in a soil mass by Surya Muthukumar, Dhanya Sathyan, Premjith B, Sanjay Kumar Shukla

“…The research was focussed on the incorporation of ML techniques for effective data processing and modeling algorithms to extract data. The influence of the design parameters on the seismic stability of nailed soil excavation is investigated using multivariate regression analysis. …”
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The Fusion of Focused Spectral and Image Texture Features: A New Exploration of the Nondestructive Detection of Degeneration Degree in <i>Pleurotus geesteranus</i> by Yifan Jiang, Jin Shang, Yueyue Cai, Shiyang Liu, Ziqin Liao, Jie Pang, Yong He, Xuan Wei

“…Spectral features were extracted by the successive projections algorithm (SPA), competitive adaptive reweighted sampling (CARS), and principal component analysis (PCA), while the texture features were derived using gray-level co-occurrence matrix (GLCM) and local binary pattern (LBP) models. …”
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Feasibility and usefulness of Gini coefficients of primary care visits as a measure of service inequality: preliminary findings from a cross-sectional study using region-wide elect... by Xin Yang, Jing Chai, Jing Cheng, DeBin Wang, XingRong Shen, Rong Liu, ManMan Lu, Jia Xu, Ningjing Yang, Guocheng Li

“…The multivariate modelling revealed statistically significant associations between the all-cause-GPV and 10 out of 14 commonly available community-level variables studied.Conclusions GPVs can be accurately estimated using a limited number of months of EMRs and, guided by the relevant framework, analysis of GPVs can unveil useful clues in addressing unequal primary healthcare utilisation.…”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics. Effectively extracting and analyzing hidden information, while understanding temporal variation in hydrological data, remains a challenge. …”
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Association between glycemic variability and all-cause mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: a retrospective study based on the MIMIC-IV... by Yuyang Hou, Xinyi Guo, Jiasheng Yu

“…Methods All blood glucose measurements taken within the initial 72-h period following intensive care unit (ICU) admission for non-traumatic SAH patients were extracted. The coefficient of variation (CV) was employed to quantify GV, defined as the ratio of the standard deviation (SD) to the mean blood glucose. …”
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Survival of patients with malignant neoplasms to be screened as part of the adult medical examination during the COVID-19 pandemic by A. A. Dyachenko, L. E. Valkova, M. L. Levit, Yu. A. Voroshilov, M. Yu. Valkov

“…Purpose of the study. To assess the variations of survival in malignant neoplasms subject to screening as part of the regular adult population check-up (index MN, iMN) during the COVID-19 pandemic according to the data of the Arkhangelsk Regional Cancer Registry (ARCR).Materials and methods. …”
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Regions of Russia: Clustering Results Based on Economic and Innovation Indexes by V. P. Zavarukhin, T. I. Chinaeva, E. Yu. Churilova

“…The following statistical methods were used in the study: non-parametric (Spearman’s rank correlation coefficients, Mann-Whitney test), correlation (Pearson’s coefficients, coefficients of determination), regression (non-linear regression models), multivariate classifications (cluster analysis), descriptive statistics (averages, structural averages, indicators of variation, etc.).Results. …”
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Fish Diversity Patterns in Rivers Receiving Ecological Water Supplement Driven by Riparian Land Use by LIU Han, LI Lu-dan, GUO Wei-jie, QIAO Qiang-long, GONG Dan-dan, DU Qi, LI Hang, ZHAO Wei-hua

“…Statistical analyses included: Analysis of Variance (ANOVA) and Permutational Multivariate Analysis of Variance (PERMANOVA) to test interannual differences; Non-metric Multidimensional Scaling (NMDS) to visualize community structure; Pearson correlation analysis to examine relationships among diversity indices; and Multiple Linear Regression (MLR) models to quantify the driving effects of riparian land use on fish diversity. …”
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Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies. by Isabel Bergeri, Mairead G Whelan, Harriet Ware, Lorenzo Subissi, Anthony Nardone, Hannah C Lewis, Zihan Li, Xiaomeng Ma, Marta Valenciano, Brianna Cheng, Lubna Al Ariqi, Arash Rashidian, Joseph Okeibunor, Tasnim Azim, Pushpa Wijesinghe, Linh-Vi Le, Aisling Vaughan, Richard Pebody, Andrea Vicari, Tingting Yan, Mercedes Yanes-Lane, Christian Cao, David A Clifton, Matthew P Cheng, Jesse Papenburg, David Buckeridge, Niklas Bobrovitz, Rahul K Arora, Maria D Van Kerkhove, Unity Studies Collaborator Group

“…Children 0 to 9 years and adults 60+ were at lower risk of seropositivity than adults 20 to 29 (p < 0.001 and p = 0.005, respectively). In a multivariable model using prevaccination data, stringent public health and social measures were associated with lower seroprevalence (p = 0.02). …”
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Associations of remote mental healthcare with clinical outcomes: a natural language processing enriched electronic health record data study protocol by Rashmi Patel, Paolo Fusar-Poli, Muhammad Shamim Ahmed, Daisy Kornblum, Dominic Oliver

“…Second, NLP models that have been previously developed to extract mental health symptom data will be applied to around 5 million documents to analyse the variation in content of remote versus in-person assessments.Ethics and dissemination The SLaM BRC Case Register and Clinical Record Interactive Search (CRIS) tool have received ethical approval as a deidentified dataset (including NLP-derived data from unstructured free text documents) for secondary mental health research from Oxfordshire REC C (Ref: 18/SC/0372). …”
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