Error Characteristic Analysis and Filtering Algorithm for GNSS Time-Series Data by Hongli Zhang, Yijin Chen, Kemeng Li, Yinggang Wang

“…Using filtering methods, the data quality can be improved. Through the analysis of the experimental data in this study, it was found that the variation patterns of measurement data obtained by devices of the same accuracy during the same time period are generally consistent. …”
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DR-Z2AN: dual-recurrent neural network with a tri-channel attention mechanism for financial management prediction by Salem Knifo, Ahmad Alzubi

“…The established methods for financial management prediction have some flaws, such as the requirement of labeled data, data quality, time complexity, under fitting problems, and longer execution times. …”
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Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…Factors influencing adoption are categorized into social influences, individual perceptions, cost considerations, security and privacy concerns, and data quality issues. The analysis of business models emphasizes the need to align technological innovations with market needs, focusing on value propositions like cost savings and efficiency improvements. …”
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AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…To this end, optimization strategies such as improving data quality and technical platforms, strengthening student technical training, enhancing teachers’ AI application capabilities, and enriching AI functions and teaching scenarios are proposed to enhance the application effect of AI in geographical research and promote innovation in educational models and student capacity building.…”
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Digital therapeutics in Korea: current status, challenges, and future directions – a narrative review by Hee Jun Shin, Ik Tae Cho, Wan Suk Choi, Hong Rae Kim, Min Bong Kang, Won Jong Yang

“…The key challenges include underdeveloped regulatory frameworks, issues with data quality and security, and a lack of established reimbursement pathways. …”
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A systematic review of passive data for remote monitoring in psychosis and schizophrenia by Siân Bladon, Emily Eisner, Sandra Bucci, Anuoluwapo Oluwatayo, Glen P. Martin, Matthew Sperrin, John Ainsworth, Sophie Faulkner

“…Thirty studies assessed data quality and another 69 applied data quantity thresholds. …”
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The Role of Quality Improvement Process in Improving the Culture of Information among Health Staff in Ghana by Richard Okyere Boadu, Godwin Adzakpah, Peter Agyei-Baffour

“…The study involved assessment of perceived culture of information of staff coupled with training of 141 core staff selected from 26 facilities who were involved in data collection and use of information through application of data quality improvement training module over a twelve-month period. …”
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Open government data in health sector: a systematic literature review by Patrícia Nascimento Silva, Sarah Nascimento Silva

“…Data extraction included the location of the application, description of the initiative/use of data, themes addressed, data quality, and respective evaluation tools. Results Of the 3,176 records initially identified, six studies were included describing initiatives to make available datasets or portals that publish OGD in the healthcare area between 2020 and 2023. …”
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数字健康技术在卒中一级预防中的应用与挑战 The Application and Challenges of Digital Health Technology in Primary Prevention of Stroke by 熊维清1，赵一霖2，邱月3 (XIONG Weiqing1, ZHAO Yilin2, QIU Yue3 )

“…It also points out the challenges faced by the technology in practical application, including data quality, model generalization ability, integration into clinical practice, and privacy protection. …”
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Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach by Margaret Dy Manalo, Kota Aoki, Shuqiong Wu, Mariko Shindo, Yutaka Ueda, Yasushi Yagi

“…We first enhanced data quality via a comprehensive preprocessing pipeline that reduces the dataset to usable cervigrams. …”
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The Burden of Asymptomatic Malaria Infection in Children in Sub-Saharan Africa: A Systematic Review and Meta-Analysis Exploring Barriers to Elimination and Prevention by Daniel Asmelash, Wubetu Agegnehu, Wondaya Fenta, Yemane Asmelash, Shibihon Debebe, Abyot Asres

“…Methods Relevant studies were retrieved from Web of Science, Cochrane Library, PubMed, Google Scholar, Gray Literature, Embase, and African Online Journal databases published between 2014 and 2024. Data quality was assessed by a tool developed by Hoy and colleagues and classified as low, moderate, or high risk of bias. …”
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Swedish Version of the System Usability Scale: Translation, Adaption, and Psychometric Evaluation by Helene Åvik Persson, Charlotte Castor, Nilla Andersson, Mia Hylén

“…The psychometric evaluation consisted of data quality, scaling assumptions, and acceptability. …”
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Lessons learned from implementation of the Workload Indicator of Staffing Need (WISN) methodology: An international Delphi study of expert users. by Grace , Nyendwoha Namaganda, Audrey, Whitright, Everd, Bikaitwoha Maniple

“…Key lessons learned were that: the benefits gained from applying the WISN outweigh the challenges faced in understanding the technical steps; benchmarking during WISN implementation saves time; data quality is critical for successful implementation; and starting with small-scale projects sets the ground better for more effective scale-up than attempting massive national application of the methodology the first time round. …”
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Characteristics of surveillance systems for suicide and self-harm: A scoping review. by Aline Conceição Silva, Amanda Sarah Vanzela, Laysa Fernanda Silva Pedrollo, John Baker, José Carlos Marques de Carvalho, Carlos Alberto da Cruz Sequeira, Kelly Graziani Giacchero Vedana, José Carlos Pereira Dos Santos

“…Limitations found by the studies pointed mostly to case definitions and data quality. Co-production, intersectoral collaboration, clear case definition criteria and data standardisation are essential to improve surveillance systems for suicide and self-harm.…”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Moreover, the time domain of the processed WFEM data is more in line with periodic signal characteristics, its overall data quality is significantly enhanced, and the electric field curve is more stable. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…The study starts with univariate, bivariate, and multivariate feature exploration and subsequently uses the Interquartile Range (IQR) approach to identify outliers thereby improving the data quality. Five models—K-Nearest Neighbors, Support Vector Classifier, Random Forest, Decision Tree, and XGBoost—a Voting Classifier ensemble—are used to estimate project churn. …”
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Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis by Georges Nguefack-Tsague, Fabrice Zobel Lekeumo Cheuyem, Boris Edmond Noah, Valérie Ndobo-Koe, Adidja Amani, Léa Melataguia Mekontchou, Marie Ntep Gweth, Annick Collins Mfoulou Minso Assala, Marie Nicole Ngoufack, Pierre René Binyom

“…Less than one-fifth (18.2%) of health care providers were able to understand data flow, correctly archived data (36.6%) and used electronic tools for data quality control (40.0%). Conclusion There were high levels of heterogeneities of morbidity and mortality causes among patients admitted to the Yaoundé Central Hospital in 2021. …”
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Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis by Robert A Verheij, Niek Klazinga, Erica Barbazza, Lotte Ramerman, Dionne Kringos

“…Five main themes were identified as areas for optimising data use: (1) measuring what matters, (2) increasing data linkages, (3) improving data quality, (4) facilitating data sharing and (5) optimising fit for use analysis.Conclusions To make primary care prescribing data useful for improving quality, consolidated patient-specific data on the indication for a prescription and dispensed medicine, over time, is needed. …”
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Graph Deep Active Learning Framework for Data Deduplication by Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li

“…In order to reduce redundant data storage and improve data quality, data deduplication technology has never become more significant than nowadays. …”
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Epidemiological and sociodemographic description of snakebite envenoming cases in Paraguay reported between 2015 and 2021 by Guillermo Sequera, Sofia Ardiles-Ruesjas, Edgar Sanabria, Victor Hugo Segovia Portillo, Lorena Jara Oroa, Viviana de Egea, Julio Alonso-Padilla, Irene Losada, María Jesús Pinazo

“…Departments with a higher number of notifications were San Pedro (12%, n=191), Caazapá and Alto Paraná (10%, n=163). Regarding data quality, variables about clinical outcomes, treatment administration and case management were the worst reported.Conclusion SBE is a public health issue that affects young workers in rural areas in Paraguay. …”
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