Innovative models of healthcare delivery: an umbrella review of reviews by Frances Rapport, Jeffrey Braithwaite, Yvonne Zurynski, Peter D Hibbert, Kate Churruca, Louise A Ellis, Chiara Pomare, Robyn Clay-Williams, Stephanie Best, Janet C Long, Gaston Arnolda, Bróna Nic Giolla Easpaig, Zeyad Mahmoud, Mitchell N Sarkies, Hoa Mi Nguyen, Karen Hutchinson, Gilbert Thomas Knaggs, Katherine Maka, Elizabeth E Austin, Diana Fajardo Pulido, Sarah Hatem, Natalie Roberts, Emilie Francis Auton, Genevieve Dammery, Isabelle Meulenbroeks, Ann Carrigan, Mai-Tran Nguyen

“…Virtual care was the most common model studied, addressed by 47 (73%) of the reviews. Common outcomes evaluated across reviews were clinical indicators and mortality, healthcare utilisation, self-care and self-management, patient knowledge, quality of life and cost-effectiveness. …”
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Small Reviews (About the Event of Thought and the Crisis of Subject) by A. S. Robotova

“…This text is called “Small Reviews”. Why? First of all, because the author has not set the task of a comprehensive analysis of publications. …”
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Virtual Culinary Influence: Investigating the Impact of Food Vlogs on Viewer Attitudes and Restaurant Visit Intentions by Tu-Anh Truong, Diana Piscarac, Seung-Mi Kang, Seung-Chul Yoo

Subjects: “…restaurant reviews…”
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The association of serum phospholipids levels with chronic kidney disease: A systematic review of observational studies by Zahra Shahveghar Asl, Faezeh Ghalichi, Mohadeseh Badpeyma, Zohreh Ghoreishi

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Reviews and locate the access of citizens in Shirvan city To medical treatment by mohammad motamedi

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Sex/gender analysis in systematic reviews. Critical review and recommendations by Raúl Aguilera Eguía, Olga Patricia López Soto, Ángel Roco Videla, Brenda Herrera Serna, Héctor Fuentes Barria, Lorena Gerli Candia

“…<p>Integrating sex/gender analysis in systematic reviews is essential to understand the influence of sex and gender on health outcomes. …”
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Beyond the spotlight: Unveiling the gender bias curtain in movie reviews. by Jad Doughman, Wael Khreich

“…Previously, gender biases in movie reviews were computed using disparities in male-led versus female-led movie ratings or box-office earnings; however, no work has been done to quantify the linguistic biases within movie review transcripts. …”
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Describing randomization in trials included in systematic reviews in orthopaedic surgery by Matthew Tang, Kimberley K. Lun, Adriane M. Lewin, Ian A. Harris

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Evidence mapping and overview of systematic reviews of the effects of acupuncture therapies by Yuqing Zhang, Gordon Guyatt, Lin Wang, Hao Wen, Liming Lu, Gabriel Rada, Lai Wang, Shuqi Ge, Yu Dong, Camila Ávila, Xiaorong Tang, Neng-Gui Xu, Zhao Zeng, Camilo Vergara, Rouhao Chen, Xiaojing Wei, Wen Luo, Jing chun Zeng, Chun-Zhi Tang

“…Objective To provide a route map regarding systematic reviews (SRs) of acupuncture therapies that will meet two goals: (1) to identify areas in which more or better evidence is required and (2) to identify acupuncture applications that, although proven effective, remain underused in practice, and thus warrant more effective knowledge dissemination.Eligibility criteria We included SRs that conducted meta-analyses (MAs) of randomised controlled trials (RCTs) for this overview.Information sources We searched for SRs without language restrictions from January 2015 to November 2020 in four Chinese electronic databases and Epistemonikos database. …”
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Efficient evidence selection for systematic reviews in traditional Chinese medicine by Yizhen Li, Zhe Huang, Zhongzhi Luan, Shujing Xu, Yunan Zhang, Lin Wu, Darong Wu, Dongran Han, Yixing Liu

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Quality of the systematic reviews in cochrane multiple sclerosis related articles by Masoud Zeynalzadeh, Nasim Mahdavi, Morteza Atayi, Hanieh Salehi-Pourmehr, Sakineh Hajebrahimi

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Effectiveness of rehabilitation interventions in patients with colorectal cancer: an overview of systematic reviews by Mengzhe Yang, Bhasker Amatya, Sana Malik, Krystal Song, Stefanie Marcella, Catherine Voutier, Fary Khan

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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…Consumer reviews are an important source of data used to judge and examine consumer sentiment, and data mining for reviews of electronic products is an important way to help improve the design of electronic products. …”
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Effectiveness of interventions for dry eye: a protocol for an overview of systematic reviews by Tianjing Li, Paul McCann, Riaz Qureshi, Zanna Kruoch

“…There are several treatment options available for dry eye and high-quality systematic reviews synthesise the evidence for their effectiveness and potential harms.Methods and analysis We will search the Cochrane Eyes and Vision US satellite (CEV@US) database of eyes and vision systematic reviews for systematic reviews on interventions for dry eye. …”
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Analyzing the Influence of Online Test-Driving Reviews on the Adoption of Autonomous Vehicles by Chuan Hui Liao, Xuan Zheng Wang, Ren Gang Guo, Siqi Wang

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The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews by U. A. Piumi Ishanka, Takashi Yukawa

“…We developed a new corpus that incorporates the emotion parameter by employing semantic analysis techniques for destination recommendation. We review the effectiveness of incorporating emotion in a recommendation process using prefiltering techniques and show that the use of emotion as a contextual parameter for location recommendation in conjunction with collaborative filtering increases user satisfaction.…”
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Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews by Muhammad Afzaal, Muhammad Usman, A. C. M. Fong, Simon Fong, Yan Zhuang

“…Aspect based classification suffers from the presence of irrelevant sentences in a typical user review. Such sentences make the data noisy and degrade the classification accuracy of the machine learning algorithms. …”
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Review of Systematic Reviews on Acute Procedural Pain in Children in the Hospital Setting by Jennifer Stinson, Janet Yamada, Alison Dickson, Jasmine Lamba, Bonnie Stevens

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ON THE SIGNIFICANCE OF THE “ACADEMIC WRITING” COMPONENT IN THE TEXT OF THE OFFICIAL REVIEWS ON PHD THESES by Edita N. Merkulova

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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…With the rapid growth of online product reviews, many users refer to others’ opinions before deciding to purchase any product. …”
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