Opioid Nonadherence Risk Prediction of Patients with Cancer-Related Pain Based on Five Machine Learning Algorithms by Jinmei Liu, Juan Luo, Xu Chen, Jiyi Xie, Cong Wang, Hanxiang Wang, Qi Yuan, Shijun Li, Yu Zhang, Jianli Hu, Chen Shi

“…Five ML algorithms, such as logistic regression (LR), random forest, eXtreme Gradient Boosting, multilayer perceptron, and support vector machine, were used to predict opioid nonadherence in patients with cancer pain using 43 demographic and clinical factors as predictors. The predictive effects of the models were compared by the area under the receiver operating characteristic curve (AUC_ROC), accuracy, precision, sensitivity, specificity, and F1 scores. …”
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Polygyny and intimate partner violence among married women: Sub-national estimates from a cross-sectional study in the Democratic Republic of the Congo. by Zacharie Tsala Dimbuene, Bright Opoku Ahinkorah, Dickson Abanimi Amugsi

“…The paper used a subsample of 3,749 married women from 2013-2014 Demographic and Health Survey (DHS) in the DRC. Univariate and multivariable logistic regression was conducted to test statistical significance between polygyny and IPV and p < 0.05 was considered statistically significant. …”
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Nutrition Knowledge among College of Basic Education Students in Kuwait: A Cross-Sectional Study by Wafaa Husain, Fatemah Ashkanani, Maryam A. Al Dwairji

“…This study was designed to evaluate the level of general nutrition knowledge and demographic variations in knowledge in a sample of students attending the College of Basic Education in Kuwait. …”
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Analysis of Clinically Symptomatic Patients to Differentiate Inflammatory Breast Cancer from Mastitis in Asian Women by Han Song Mun, Ha Yeun Oh

“…Methods: Between January 2012 and June 2024, 101 Asian women with symptoms of inflammation underwent breast ultrasound (US). Clinical and demographic data were extracted from patients’ medical records. …”
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Changes and determinants of pneumococcal vaccine uptake in Ethiopia. by Biniyam Tedla Mamo, Ferehiwot Gebrehiwot Geram, Kebron Yihenew Getnet, Zelalem Tazu Bonger

“…The study was based on secondary data from the Ethiopian Demographic and Health Surveys (EDHS) in 2016 and 2019, involving 1,929 children in 2016 and 1,008 in 2019, aged 12-23 months. …”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…The analysis encompasses a broad spectrum of variables, including meteorological, topographic, and socio-demographic factors. The strategy achieved a concordance metric of 83.29%, indicating a strong ability to predict the presence of contamination risk, with a sensitivity of 83.93%. …”
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Exploring the Effects of Sub-Dissociative Doses of Ketamine on Sedation Quality in Bronchoscopy: A Double-Blind Clinical Study by Hamidreza Shetabi, Samira Rostami

“…Results: Regarding demographic variables revealed no statistically notable discrepancy among the cohorts (P>0.05). …”
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Clinical and Radiological Outcomes of Total Knee Arthroplasty Performed with Midvastus and Medial Parapatellar Approaches in Obese Patients by Olcay Guler, Gürkan Gümüşsuyu, Hakan Sofu, Hüseyin Bahadır Gökçen

“…Patients were allocated into 2 groups as for the type of approach conducted during TKA: group I (n = 41) underwent TKA by MV approach, while the MMP technique was used in group II (n = 39). Results. Demographic, clinical, and radiological parameters included age, side of involvement, sex, BMI, diameters of thigh and calf, length of incision, duration of operation, amount of bleeding and transfusion, duration of hospitalization and follow-up, complications, and range of motion, as well as Knee Society Score (KSS) and Knee Society Function Score (KSFS). …”
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Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC Using Deep Learning: A Systematic Literature Review by Shahzad Rizwan, Chee Ken Nee, Salem Garfan

“…A total of 70 articles were selected for in-depth analysis, focusing on key predictors of student performance and engagement, including demographic data, behavioral patterns, learning activities, and clickstream data. …”
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Sharia Financial Literacy and Good Corporate Governance for Generation Z: Study in Sharia Banks in Indonesia by Novrida Qudsi Lutfillah Lutfillah, Yeni Agustin Novitasari, Atik Andhayani

“…This gap hinders the ability of Sharia banks to effectively position themselves as trusted institutions for this demographic. This study aims to investigate the relationship between Sharia financial literacy and GCG practices on saving decisions among Generation Z in Malang City. …”
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Factors of International Activity of Russian Cities: The Results of the Empirical Analysis by R. S. Mukhametov

“…In conclusion, it is noted that the influence of demographic, geographical, economic, political, legal, and cultural-historical features of municipalities on the number of sister cities does not explain all cases. …”
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Effects of COVID-19 on short-term outcomes of hip arthroplasty: a multicenter, retrospective, propensity score matched study by Shih-Hui Peng, Yu-Chih Lin, Chih-Hsiang Chang, Chih-Chien Hu, Lan-Yan Yang, Yuhan Chang

“…Propensity score matching (PSM) was performed to compare demographic characteristics, primary outcomes, and secondary outcomes between patients with a history of COVID-19 (COVID-19 cohort) and those without it (control cohort). …”
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Genetic Diversity of Echinococcus granulosus in Southwest China Determined by the Mitochondrial NADH Dehydrogenase Subunit 2 Gene by Jiahai Wang, Ning Wang, Dandan Hu, Xiuqin Zhong, Shuxian Wang, Xiaobin Gu, Xuerong Peng, Guangyou Yang

“…We found large negative Fu’s Fs and Tajima’s D values and a unimodal mismatch distribution, indicating that the population has undergone a demographic expansion. We observed high genetic diversity among the E. granulosus s. s. isolates, indicating that the parasite population in this important bioregion is genetically robust and likely to survive and spread. …”
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Comparison of clinicopathological characteristics of young and old North Indian patients of oral squamous cell carcinoma by G. Sharma, M. Kamboj, A. Narwal, A. Devi, J. Yadav, M. Sharma

“…Methods: In the present retrospective study, histopathologically confirmed cases of OSCC were retrieved and assigned into two groups based on their age. Demographic data along with histopathological parameters were assessed. …”
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Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database by Sheng Pan, Wenchao Mei, Linfei Huang, Yan’e Tao, Jing Xu, Yuelu Ruan

“…Our aim is to make accurate and robust predictions of the risk of postoperative death in young colorectal cancer patients (18-44 years old) by combining tumor characteristics with medical and demographic information about the patient. Materials and Methods. …”
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Performance of a Point-of-Care Test Kit (Anigen Rapid^®) to Diagnose Feline Immunodeficiency Virus (FIV) Infection in Domestic Cats Using Saliva Instead of Blood in Austr... by Jennifer Green, Adele Scannell, Evelyn Hall, Mark E. Westman

“…The two significant cat risk factors for FIV infection were sex (male) and health status (sick). In terms of demographic information, prevalence in Tasmania and the Northen Territory was reported for the first time. …”
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Effect of antithrombotic therapies on small bowel bleeding: an European multicenter retrospective study by Lucia Scaramella, Stefania Chetcuti Zammit, Reena Sidhu, Maurizio Vecchi, Gian Eugenio Tontini, Nicoletta Nandi, Matilde Topa, Luca Elli

“…Methods Consecutive patients from two centers (Milan, Italy and Sheffield, UK) who underwent VCE between March 2001 and July 2020 were considered. Demographic data, clinical parameters, drug therapy, and technical characteristics of the procedure were collected. …”
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Sex-Based Variations in Hemato-Physiological Characteristics of Patients with Major Depressive Disorder: Clinical and Socioeconomic Insights by Basim A. Abd, Hayder Abdul-Amir Makki Al-Hindy, Samer Raheem Obaid

“…Materials and Methods: The study collected basic demographic characteristics, including age, leukocyte counts, body mass index (BMI), hemoglobin (Hb) blood values, and inflammatory marker “C-reactive protein” (CRP). …”
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Terminal Care Performance of Nurses Caring for COVID‐19 Patients: A Cross‐Sectional Descriptive Study by Juyeon Oh, Dong‐Hee Kim, Yujin Kim

“…Methods Using a convenience sampling method from June to October 2022, nurses who provided terminal care for COVID‐19 patients in a Korean tertiary hospital within the last 6 months from the time of the study were selected as participants. Socio‐demographic and work characteristics of the participants were collected, and COVID‐19 moral distress, terminal care stress and terminal care performance were assessed. …”
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Helicobacter Pylori infection in systemic sclerosis and its association with upper gastrointestinal dysfunction by Chilukuri Balaji, Mahendran Bhuvanesh, Chinnadurai Saranya, Ramamoorthy Ramesh, Mayilsamy Saravanan, Sankaralingam Rajeswari

“…Methods: This study comprised 55 patients who satisfied ACR/EULAR 2013 classification criteria for SSc and 25 age and sex-matched healthy controls. Demographic, clinical, laboratory, and immunological parameters were recorded. …”
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