Reporting Guidelines for Community Outbreak Investigation Reporting (G-CORE): protocol for guideline development by Wonyoung Jung, Sukhyun Ryu, So Yeon Ryu, Mina Ha, Bo Youl Choi, Soo Young Kim

“…The process also involved project registration with the EQUATOR Network and collaboration with experts in various fields. …”
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Development and validation of machine learning models for young-onset colorectal cancer risk stratification by Junhai Zhen, Jiao Li, Fei Liao, Jixiang Zhang, Chuan Liu, Huabing Xie, Cheng Tan, Weiguo Dong

“…Using routine clinical data, we aimed to develop machine learning (ML) models to identify individuals with high-risk YOCRC who require further colonoscopy. …”
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A Machine Learning Framework for Student Retention Policy Development: A Case Study by Sidika Hoca, Nazife Dimililer

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Institutional provision of the coordinated realization of tax policy at the modern stage of the Ukrainian society's development by O.V. Zhelai

“…It has been found out that one of the effective forms of tax training is professional development, as professionally trained people should be responsible for taxing. …”
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Social determinants of health associated with the development of sepsis in adults: a scoping review protocol by Alison Fox-Robichaud, Christina Machon, Fatima Sheikh

“…Understanding of the factors associated with the development of sepsis is crucial for improving population health and public health efforts; in particular, literature exploring the relationship between sepsis and social determinants of health is lacking. …”
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Development and validation of a questionnaire to evaluate the productive engagement of Chinese older adults in the community by Yingjie Shen, Mingli Zhao, Wenya Zhao, Shuangshuang Dai, Xue Wang, Yijia Zhuo

“…Trial registration Not applicable.…”
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Defining the integrated neighbourhood model: a systematic review of key domains and framework development by Fahad M. Iqbal, Seher Kayikci, Hayley Lowther-Payne, Mohamed Aly, Alan Askari, Rachel Wells, Afsana Bhuiya

“…However, IN models lack a unified definition and standard framework for development and evaluation, limiting their scalability and effectiveness. …”
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Prediction of chronic postsurgical pain in adults: a protocol for multivariable prediction model development by Christian Fynbo Christiansen, Lone Nikolajsen, Simon Haroutounian, Nicholas Papadomanolakis-Pakis

“…A CPSP risk calculator (CPSP-RC) will be developed based on predictors retained in the final models. …”
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The recognition of and care seeking behaviour for childhood illness in developing countries: a systematic review. by Pascal Geldsetzer, Thomas Christie Williams, Amir Kirolos, Sarah Mitchell, Louise Alison Ratcliffe, Maya Kate Kohli-Lynch, Esther Jill Laura Bischoff, Sophie Cameron, Harry Campbell

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Prenatal Docosahexaenoic Acid Supplementation and Offspring Development at 18 Months: Randomized Controlled Trial. by Usha Ramakrishnan, Amanda Stinger, Ann M DiGirolamo, Reynaldo Martorell, Lynnette M Neufeld, Juan A Rivera, Lourdes Schnaas, Aryeh D Stein, Meng Wang

“…<h4>Outcome measures</h4>Child development at 18 months of age measured using the Spanish version of the Bayley Scales of Infant Development-II. …”
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Development and Validation of Procedures for Determination of Elemental Toxicants in Herbal Substances and Herbal Medicinal Products by V. M. Shchukin, N. E. Kuz’mina, Yu. N. Shvetsova, A. I. Luttseva

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Gender differences in early childhood development in rural China: a sibling structure perspective by Hongyu Guan, Xiangzhe Chen, Lidong Zhang, Yunyun Zhang, Yuxiu Ding, Ai Yue

“…Trial registration Not applicable.…”
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Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia. by Bumi Herman, Wandee Sirichokchatchawan, Sathirakorn Pongpanich, Chanin Nantasenamat

“…Furthermore, GeneXpert for rapid diagnosis is not widely available in Indonesia. This study aims to develop and evaluate the CUHAS-ROBUST model performance, an artificial-intelligence-based RR-TB screening tool.…”
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Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers by Hengjun Wan, Huaju Tian, Cheng Wu, Yue Zhao, Daiying Zhang, Yujie Zheng, Yuan Li, Xiaoxia Duan

“…Based on machine learning, linear and nine non‐linear models were developed and compared to select the optimal model. …”
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The influence of the pharmaceutical industry on the development of gonadotrophins and ovarian stimulation protocols in assisted reproductive technologies by Tim Child, Robert Bassett, Colin M. Howles, Colin M. Howles

“…The analysis included mainly evidence from pharmaceutical sponsored randomised controlled trials (RCTs) as well as single arm, registration or post approval studies. Studies on new molecular entities were reviewed. …”
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Fall incidents in nursing home residents: development of a predictive clinical rule (FINDER) by Hugo M van der Kuy, Dennis Wong, Brigit P C van Oijen, Kim P G M Hurkens, Vanja Milosevic, Aimee Linkens, Carlota Mestres-Gonzalvo

“…The validated AUROC of the CR, obtained in part II, was 0.603 (95% CI: 0.565 to 0.641) with a sensitivity of 83.41% (95% CI: 79.44% to 86.76%) and a specificity of 27.25% (95% CI 23.11% to 31.81%).Conclusion Medication data and resident characteristics alone are not sufficient enough to develop a successful CR with a high sensitivity and specificity to predict fall risk in NH-residents.Trial registration number Not available.…”
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The current state and prospects for the development of the Ukrainian market of veterinary drugs for the treatment of skin diseases by I. V. Bushuieva, M. V. Ohloblina

“…Nowadays the important problem is the development of new domestic effective medicines to combat this pathology. …”
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Development and testing of an opioid tapering self-management intervention for chronic pain: I-WOTCH by Kirstie Haywood, Martin Underwood, Anisur Rahman, Kate Seers, Andrea D Furlan, Dipesh Mistry, Charles Abraham, Harbinder Kaur Sandhu, Sharisse Alleyne, Shyam Balasubramanian, Lauren Betteley, Katie Booth, Dawn Carnes, Ranjit Lall, Andrea Manca, Vivien P Nichols, Jennifer Noyes, Jane Shaw, Nicole K Y Tang, Colin Tysall, Sam Eldabe, Henry Adjei, Chockalingam Muthiah, Emma Padfield, Stephanie JC Taylor, Adrian Willis, Sheeja Manchira Krishnan, Cynthia Paola, Iglesis Urrutia

“…A detailed facilitator manual was developed to promote consistent delivery of the intervention across the UK.Conclusions We describe the development of an opioid reduction intervention package suitable for testing in the I-WOTCH randomised controlled trial.Trial registration number ISRCTN49470934.…”
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Development and usability testing of a multifaceted intervention to reduce low-value injury care by Mélanie Bérubé, Alexandra Lapierre, Michael Sykes, Jeremy Grimshaw, Alexis F. Turgeon, François Lauzier, Monica Taljaard, Henry Thomas Stelfox, Holly Witteman, Simon Berthelot, Éric Mercier, Catherine Gonthier, Jérôme Paquet, Robert Fowler, Natalie Yanchar, Barbara Haas, Paule Lessard-Bonaventure, Patrick Archambault, Belinda Gabbe, Jason R. Guertin, Yougdong Ouyang, Lynne Moore, the Canadian Traumatic Brain Injury Research Consortium

“…The aim of our study was to develop and assess the usability of a multifaceted intervention to reduce low-value injury care. …”
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The Dietary Biomarkers Development Consortium: An Initiative for Discovery and Validation of Dietary Biomarkers for Precision Nutrition by Hrishikesh Chakraborty, Qi Sun, Shilpa N Bhupathiraju, Jeannette M Schenk, Darya O Mishchuk, James R Bain, Xuan He, Jianghao Sun, James Harnly, William Simmons, Daniel Raftery, Liming Liang, John W Newman, Oliver Fiehn, Clary B Clish, Johanna W Lampe, Brian J Bennett, Sandi L Navarro, Ying Wang, Cheng Zheng, Yasmin Mossavar-Rahmani, Marjorie L McCullough, Ying Huang, Ali Shojaie, Wentao Zhu, Danijel Djukovic, Frank Sacks, Jonathan Williams, Francene M Steinberg, Sean H Adams, Frank B Hu, Marian L Neuhouser, Carolyn M Slupsky, Padma Maruvada

“…This manuscript discusses the DBDC’s organizational infrastructure, study design, laboratory methods, and strategies for dietary biomarker discovery and validation. Trial registration number: This trial was registered at Phase 1 Seattle Dietary Biomarkers Development Center (P1-SDBDC) as NCT05580653, at Fruit and Vegetable Biomarker Discovery (UCD-DBDC) as NCT05621863, and at Dietary Biomarkers Intervention Core as NCT05616585.…”
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