Trends and factors associated with anemia among women of reproductive age in Mali: analysis of data from 2001 to 2018 Mali demographic and health surveys by Ebenezer Kwesi Armah-Ansah, Eugene Budu, Charity Oga-Omenka, Marina Kolosnitsyna

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Analysis of TaqMan Array Cards Data by an Assumption-Free Improvement of the maxRatio Algorithm Is More Accurate than the Cycle-Threshold Method. by Luigi Marongiu, Eric Shain, Lydia Drumright, Reidun Lillestøl, Donald Somasunderam, Martin D Curran

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Ripen banana dataset: A comprehensive resource for carbide detection and ripening stage analysis to enhance food quality and agricultural efficiencyMendeley Data by Elman Alam, Md Tarequl Islam, Ishrat Zahan Raka, Onamika Sarkar Ritu, Md Shakhawat Hossain, Wahidur Rahman, Rahat Khan

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Impact of high-resolution settlement data on flood exposure: a comparative analysis of flood hazard and exposure in the Gin River Basin, Sri Lanka by Jayapadma Mudalige Miyuru Uthpala Jayapadma, Kazuyoshi Souma, Thushara Navodani Wickramaarachchi, Jun Magome, Hiroshi Ishidaira

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How does individualised physiotherapy work for people with low back pain? A Bayesian Network analysis using randomised controlled trial data. by Bernard X W Liew, Jon J Ford, Marco Scutari, Andrew J Hahne

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Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences by Julia Walsh, Jonathan Cave, Frances Griffiths

“…MethodsUsing 69,022 posts from 790 sources, we used a variety of NLP and corpus techniques to analyze the data, including data cleaning techniques to maximize post context, Python for NLP techniques, and Sketch Engine for linguistic analysis. …”
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How do people perceive different labels for rotator cuff disease? A content analysis of data collected in a randomised controlled experiment by Rachelle Buchbinder, Ian A Harris, Christopher G Maher, Giovanni E Ferreira, Romi Haas, Zoe A Michaleff, Joshua R Zadro

“…Objectives Explore how people perceive different labels for rotator cuff disease in terms of words or feelings evoked by the label and treatments they feel are needed.Setting We performed a content analysis of qualitative data collected in a six-arm, online randomised controlled experiment.Participants 1308 people with and without shoulder pain read a vignette describing a patient with rotator cuff disease and were randomised to one of six labels: subacromial impingement syndrome, rotator cuff tear, bursitis, rotator-cuff-related shoulder pain, shoulder sprain and episode of shoulder pain.Primary and secondary outcomes Participants answered two questions (free-text response) about: (1) words or feelings evoked by the label; (2) what treatments they feel are needed. …”
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Association of women’s empowerment with childhood immunisation coverage in South and Southeast Asia: meta-analysis of Demographic and Health Surveys data from 11 countries by Quanbao Jiang, Muhammad Usman Saleem, Abdul Ghani Khatir, Tingshuai Ge, Tolulope Ariyo, Negina Rahman

“…A three-stage mixed-effect individual participant data meta-analysis was employed to assess the association between ILWEI and childhood immunisation coverage.Results In India, 81.28% of women reported participation in three to four decision-making areas, followed by 62.07% in Bangladesh. …”
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Decadal trends and regional disparities in tuberculosis burden: a comprehensive analysis of global, African, and Southeast Asian data from the GBD 1990–2021 by Shiwei Xie, Heng Xiao, Lei Xu, Fan Zhang, Mingwei Luo

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Predictors of seizure outcomes in children with tuberous sclerosis complex and intractable epilepsy undergoing resective epilepsy surgery: an individual participant data meta-analy... by Aria Fallah, Gordon H Guyatt, O Carter Snead, Shanil Ebrahim, George M Ibrahim, Alireza Mansouri, Deven Reddy, Stephen D Walter, Abhaya V Kulkarni, Mohit Bhandari, Laura Banfield, Neera Bhatnagar, Shuli Liang, Federica Teutonico, Jianxiang Liao, James T Rutka

“…<h4>Objective</h4>To perform a systematic review and individual participant data meta-analysis to identify preoperative factors associated with a good seizure outcome in children with Tuberous Sclerosis Complex undergoing resective epilepsy surgery.…”
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The status and challenges of online consultation service in internet hospitals operated by physical hospitals in China: a large-scale pooled analysis of multicenter data by Ming Yang, Yiwei Yan, Zhong Xu, Hongli Liu, Jing Ran, Yingbin Zheng, Zhefeng Cai, Zhengwei Liu, Kai Gong

“…This study aimed to evaluate the current status and challenges of online consultation in Internet hospitals services through large-scale multi-center business data analysis. Methods Retrospective analysis of 594,695 online consultations (2020–2021) from 30 Internet hospitals across 11 Chinese provinces. …”
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Maternal awareness of newborn danger signs before discharge: a secondary analysis of baseline data from a quasi-experimental study in Uganda by Businge Alinaitwe, Francis Nkunzimaana, Charles Kato, Rachel Uwimbabazi, Petranilla Nakamya, Molly McCoy, Adam Kaplan, Elizabeth Ayebare, Jameel Winter, Tom Denis Ngabirano

“…Methods This is a secondary analysis of baseline data from a hospital-based enhanced maternal education intervention conducted at a Tertiary Care and Teaching Hospital in Eastern Uganda. …”
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Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey by Anuj Kumar Pandey, Benson M Thomas, Diksha Gautam, Arun Balachandran, Dyah Anantalia Widyastari, Shyamkumar Sriram, Sutapa Bandyopadhyay Neogi

“…Abstract Introduction The burden of adverse neonatal outcomes (ANOs), encompassing preterm birth(PTB), low birth weight(LBW), and early neonatal deaths, remain significant public health challenge globally, particularly in developing countries. The study aims to provide estimates of adverse birth outcomes and examine their correlates by using a multi-level model analysis at individual/household/community level. …”
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Ten-Year Evaluation of Ventilator-Associated Pneumonia (VAP) According to Initial Empiric Treatment: A Retrospective Analysis Using Real-World Data by Alejandro Rodríguez, Julen Berrueta, Carolina Páez, Ronny Huertas, Marco Marotta, Laura Claverias, Josep Gómez, Sandra Trefler, Frederic F. Gómez Bertomeu, María Dolores Guerrero-Torres, Sergio Pardo-Granell, Ester Picó-Plana, Alicia Selles-Sánchez, Francisco Javier Candel, Ignacio Martín-Loeches, María Bodí

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Comorbidity and health-related quality of life in people with a chronic medical condition in randomised clinical trials: An individual participant data meta-analysis. by Elaine W Butterly, Peter Hanlon, Anoop S V Shah, Laurie J Hannigan, Emma McIntosh, Jim Lewsey, Sarah H Wild, Bruce Guthrie, Frances S Mair, David M Kent, Sofia Dias, Nicky J Welton, David A McAllister

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Contraception use and pregnancy in women receiving a 2-dose Ebola vaccine in Rwanda: A retrospective analysis of UMURINZI vaccination campaign data. by Rosine Ingabire, Julien Nyombayire, Amelia Mazzei, Jean-Baptiste Mazarati, Jozef Noben, Michael Katwere, Rachel Parker, Sabin Nsanzimana, Kristin M Wall, Tyronza Sharkey, Felix Sayinzoga, Amanda Tichacek, Niina Hammoud, Ellen Martinson, Ben Magod, Susan Allen, Etienne Karita

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Aspect-based sentiment analysis of user-generated content from a microblogging platform by Dražen Drašković, Stefan Milanović

“…This research aims to develop a software infrastructure for further work in natural language processing using the aspect-based sentiment analysis technique. …”
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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

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Dynamic relationship among China's economic development, food safety and health production from a global perspective by Minjie Teng, Minjie Teng, Hua Wei, Hua Wei, Qunshan Tao, Qunshan Tao

“…Such a model is essential to gain deeper insights into the complex interplay among economic development, food safety, and health production.MethodsUsing panel data from 30 provinces in China (2017–2020), we integrated economic development, food safety, and health production into a unified efficiency assessment framework.ResultsOur findings reveal that China's overall efficiency is low (0.504), with significant regional heterogeneity, presenting a pattern of high in the east and low in the west; the efficiency of economic development (0.288) significantly lags behind the efficiency of health production (0.694); and the efficiency of food safety risk control is weak (the efficiency of food inspection failure rate, the number of foodborne illness incidents and patients are 0.694, 0.368, and 0.428, respectively).DiscussionThe DNSBM model breaks through the limitations of traditional static analysis and provides a dynamic assessment tool for emerging economies to reconcile the contradiction of “economic growth resource consumption public health”. …”
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Assessing the impact of energy efficiency and the sharing economy on sustainable economic development in China: A QARDL analysis from 1991 to 2020 by Xiaoqian Zhang, Muhammad Sibt e Ali, Haoshuang Niu, Amir Iqbal, Gang Wenbo

“…Utilizing the Quantile Autoregressive Distributed Lag (QARDL) model and the augmented Dickey-Fuller (ADF) test, the analysis examines secondary data to capture the dynamic relationships among energy efficiency, sharing economy usage, sharing economy value, urbanization, industrialization, and population growth. …”
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