Knowledge, Attitude, Practices, and Associated Factor towards Hepatitis B Virus Infection among Health Care Professionals at Tibebe Ghion Specialized Hospital, Bahir Dar, Northwest... by Debaka Belete, Dagnaneh Wondale, Teklehaimanot Kiros, Biruk Demissie

“…Multivariable logistic regression analysis showed that being nurse professionals (AOR=0.17 (0.07, 0.38), P<0.001), midwives (AOR=0.19 (0.07, 0.5), P=0.001), and work experience (AOR=2.37 (1.38, 4.02), P=0.002) were associated with knowledge levels. …”
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Lifestyles associated with complete tooth loss in elderly people in Brazil, 2019 by Zamir Vidal de Negreiros Filho, Nizyara Costa da Silva, Rafaela Alcindo Silva de Sousa Fé, Mariella Agostinho Gonçalves Lourenço, Rafael Barroso Pazinatto, Ana Estéfanny Alves Cabral, Laércio Almeida de Melo

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Influence of Profile, Education Level, and Business Scale on Productivity of Business Actors in the Coconut Sugar Production Process in Lojejer Village, Wuluhan District by Fifin Wijayanti, Hari Rujito, Wendy Triadji Nugroho

“…The analytical tools used in this research is the analysis of multiple linear regression. Overall the results of this study it can be concluded that the factors profiles of business, education level, and scale simultaneously affect the productivity of coconut sugar farm businesses. …”
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Factors associated with recovery from stunting at 24 months of age among infants and young children enrolled in the Pediatric Development Clinic (PDC): A retrospective cohort study... by Mathieu Nemerimana, Silas Havugarurema, Alphonse Nshimyiryo, Angelique Charlie Karambizi, Catherine M Kirk, Kathryn Beck, Chantal Gégout, Todd Anderson, Olivier Bigirumwami, Jules Maurice Ubarijoro, Patient K Ngamije, Ann C Miller

“…Stunting recovery at 24 months of age was defined as the child's LAZ changing from <-2 to > -2. We used logistic regression analysis to investigate factors associated with stunting recovery. …”
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Association between sleep duration and myopia among young school-aged children by Junjie LIU, Zhanghao ZHU, Yangrundong FANG, Weiwei ZHOU

“…They were divided into myopia group (737 cases) and non-myopia group (945 cases) based on whether they had myopia. Logistic regression analysis was used to analyze the association between sleep duration and myopia in young school-aged children. …”
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Spatiotemporal dynamics of ecological quality and its drivers in Shanxi Province and its planned mining areas by Lulu Chen, Huabin Chai, Weibing Du, Zengzeng Lian, Yu Wang, Chunyi Li, Lailiang Cai, Lei Zhang

“…The CatBoost model and Geographically Weighted Regression (GWR) are applied to identify and analyze the underlying driving factors. …”
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Clinical Characteristics and Prognosis of AIDS Complicated with Talaromycosis marneffei Infection: a Single-Center Retrospective Study by Zhangyan Weng, Yijie Lin, Wenliang Dai, Yijuan Zheng, Huatang Zhang, Minghui Zheng, Haoyi He, Youzhi Hong, Dawu Zeng, Zhijun Su, Xueping Yu

“…Results Among 133 patients with AIDS and TM co-infection, the main manifestations were fever (93.23%) and severe immunodeficiency with median CD4+ T cell count of 8.50 cells/μL, with blood culture showing the highest positive rate (93.85%). Firth’s logistic regression analysis revealed that timely antifungal therapy (OR 0.004, 95% CI <0.001–0.047, P < 0.001) and higher baseline albumin (ALB) levels (OR 0.858, 95% CI 0.732–0.973, P = 0.016) were independent protective factors for improving patient prognosis. …”
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Fear of Disease Progression in Patients with Type 2 Diabetes Construction and Validation of a Nomogram Prediction Model by Liu X, Wang J, Dong H, Zhao Y, Liu L

“…Multifactor logistic regression analysis indicated that gender, place of residence, number of complications, scores on the Brief Illness Perception Questionnaire, and Family Resilience Assessment Scale were independent risk factors for fear of disease progression. …”
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Emotional intelligence among nurses in a general hospital setting in Jeddah, Saudi Arabia by Ibrahim Yahya Alhakami, Omar Ghazi Baker

“…Less work experience was associated with a higher global score (3.4 ± 0.40). The regression analysis further revealed a high global score (3.6 ± 0.35) among nurses in the obstetric department.ConclusionNurses demonstrated a moderate level of EI, with wellbeing receiving the highest score, followed by sociability. …”
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Integrating clinical features, inflammatory markers, and immune profiles: a Yunke-based nomogram model for rheumatoid arthritis prognosis by Zhen Wang, Yihao Li, Jingjing Zhao, Lin Wang, Zengyu Cheng, Fuzeng Zheng

“…Predictor selection through univariate/multivariate logistic regression informed nomogram construction. Model performance was assessed via ROC curves, calibration plots, and decision curve analysis (DCA).ResultsSix independent predictors emerged: elevated rheumatoid factor (OR = 1.32, 1.08–1.62), CRP &gt; 10 mg/L (OR = 2.14, 1.45–3.16), ≥4 swollen joints (OR = 1.87, 1.22–2.88), TNF-α &gt; 8.1 pg.…”
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Adenomyosis and endometrial cancer: determining its role as a biological contributor or incidental coexistence by Vinita Shiwali, Ying Tang, Miaoyu Xue, Rebecca Yemeli Djouda, Xintong Cai, Zheng Peng, Jingru Zhang, Liping Han

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Prevalence and Predictors of Chemotherapy‐Related Cognitive Impairment in Elderly Lung Cancer Patients: A Cross‐Sectional Study by Wu XiuCen, Chen GuiHua, Li Qin, Tang Huan, Shen HuaPeng

“…A self‐designed General and Disease‐Related Information Questionnaire, Hospital Anxiety and Depression Scale (HADS), Brief Fatigue Inventory (BFI), Pittsburgh Sleep Quality Index (PSQI), Mini‐Mental State Examination (MMSE), and Functional Assessment of Cancer Therapy Cognitive Function (Fact‐Cog) were utilized for the questionnaire survey. Univariate analysis of variance and binary logistic regression were employed to analyze the factors influencing chemotherapy‐related cognitive impairment in elderly lung cancer patients. …”
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Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis by Zhang Y, Li C, Ji Y, Wei B, Guo S, Mei X, Wang J

“…Data collected included patient demographics, vital signs, laboratory parameters, disease-related scores, major comorbidities, and the 28-day mortality. Variables were analyzed using univariate analysis and LASSO regression, and the machine learning model was constructed using R statistical software and validated internally via bootstrap resampling and calibration curves.Results: The model identified seven significant variables: SOFA, APACHE II, MAP, ALB, PCT, LTB, and VEGF. …”
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Magnitude and factors of delayed first case incision time among elective surgical patients at tikur anbessa specialized hospital, addis ababa ethiopia, 2022/23: a hospital-based cr... by Geresu Gebeyehu, Denekew Azene, Siryet Tesfaye

“…A chi-square test and logistic regression analysis were used for data analysis. Binary and multivariable logistic regression analysis was computed to determine the association between the independent and dependent variables. …”
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Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations by Yong Li, Xin Sun, Yongtao Qu, Shuling Yang, Yueyi Zhai, Yan Qu

“…Chi-square and Mann-Whitney U tests examined variables, and multivariate logistic regression determined ONIHL risk factors. Machine learning algorithms like Logistic Regression and Random Forest were developed, optimized, and evaluated. …”
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Percent Pulmonary Damage on Hospital Admission is Predictive of COVID-19 Aggravation, but Serum Protein Electrophoresis is Not by Stéphane Di Mascio, Fadi Khadra, Christine Tchikladzé-Mérand, Sandrine Labroy, Mélanie Decambron

“…Student’s t-test or Wilcoxon–Mann–Whitney test (quantitative variables) and Chi-square or Fisher’s test (qualitative variables) were used for univariate analysis. Risk factors for COVID-19 aggravation were analyzed by logistic regression. …”
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Population dynamics of Bactrocera dorsalis (Diptera: Tephritidae) in Lujiangba, Yunnan by CHEN Peng, YE Hui

“…Stepwise regression analysis demonstrates that during the period from May to November, monthly mean temperature, monthly mean maximum temperature, monthly rainfall, monthly raining days, monthly sunlight hours and relative humidity synthetically impact the population dynamics, among these factors, monthly raining days and relative humidity are crucial factors affecting the population dynamics. …”
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External Validation of Risk Prediction Score for Candidemia in Critically Ill Patients: A Retrospective Observational Study by Nurul Mazni Abdullah, Saw Kian Cheah, Raha Abdul Rahman, Nadia Md Nor, Muhammad Maaya, Qurratu Aini Musthafa

“…The risks and patient outcomes were analyzed using bivariate and multivariate regression analysis. …”
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Construction and validation of risk prediction model for postoperative infection in OSCC patients after radical resection by ZHANG Jin, CHENG Zheng, YAN Xiaojing, LEI Bing

“…They were randomly divided into the modeling group (386 cases) and the validation group (182 cases), and their clinical data were collected. The multiple factor Logistic regression model was used to analyze the influencing factors of infection in patients, and R software was used to build a line graph prediction model for internal and external verification. …”
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Construction of a Column Chart Model for Predicting TCRP Recurrence in Gravid Women by Xuqing Chen, Jing Li, Hui Liang, Nanxiang Lei

“…Multivariate logistic regression analysis was used to analyze the factors affecting the recurrence of TCRP in women of childbearing age, and the calibration curve. …”
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