Analyzing the Application of Machine Learning in Anemia Prediction by Li Yuxi

“…Obstacles such as data quality, feature selection, and model interpretability continue to hinder clinical adoption. …”
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The effect of teacher teaching, learning methods and students’ perceptions on the student's learning achievement in Medan city by Limega Candrasa, Cia Cai Cen

“…Qualitative research as a human instrument, serves to determine the focus of research, select informants as data sources, assess data quality, analyze data, interpret data and draw conclusions from the findings. …”
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Geometrical Distances of Extragalactic Binaries through Spectroastrometry by Yu-Yang Songsheng, Jian-Min Wang, Yuan Cao, XueFei Chen, JianPing Xiong, Zhi-Xiang Zhang, Rong-Gen Cai

“…Within a specific range of data quality and input parameters, the distance measurement precision of individual binary star systems is generally better than 10%. …”
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An initial benchmark of the quality of the diagnosis and surgical treatment of breast cancer in South Africa by S Nietz, H Cubasch, I Buccimazza, S Čačala, B Phakathi, M Joffe, W C C Chen, S Norris, P Ruff

“…Most quality indicators were well measurable, but data quality on reoperations and surgeon volumes was poor. …”
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Modeling Crossing Conflicts at Unsignalized T-Intersections under Heterogeneous Traffic Conditions by Jaydip Goyani, Ninad Gore, Shriniwas Arkatkar

“…However, crash-based safety assessment has known drawbacks related to data quality and coverage. Further, the crash-based safety analysis does not account that not all vehicles interact unsafely. …”
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Investigating the lateral resolution of the Rayleigh wave focal spot imaging technique using two-dimensional acoustic simulations by Giammarinaro, Bruno, Tsarsitalidou, Christina, Hillers, Gregor

“…The finite data range that is necessary to constrain the Bessel function model controls the lateral spreading of material contrasts, the distinction of two objects on sub-wavelength scales, and the image quality of complex random media. Good data quality from dense networks supports short range estimates and super-resolution.…”
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Agriculture Supply Chain Management Based on Blockchain Architecture and Smart Contracts by Adil El Mane, Younes Chihab, Khalid Tatane, Redouan Korchiyne

“…However, these data are notoriously chaotic, and analysts are concerned about their authenticity because there is a big possibility that others may have influenced data quality at various points along the data stream. …”
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SMEs probability of default: the case of the hospitality sector by Luís Pacheco

“…The main reason for our rather poor results could be from problems with the data quality, possibly since the accounts published by firms aren’t reliable and tend to present negative results.…”
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Arthroplasty registries at a glance: an initiative of the International Society of Arthroplasty Registries (ISAR) to facilitate access, understanding, and reporting of registry dat... by Anne Lübbeke, Lotje A Hoogervorst, Perla J Marang-van de Mheen, Heather A Prentice, Ola Rolfson, Rob G H H Nelissen, Arnd Steinbrück, Gearoid McGauran, Christophe Barea, Kajsa Erikson, Alma B Pedersen, Martyn Porter

“…Most registries had public reporting of data quality, methods, and results. Data was accessible in all but 2 registries, mainly as aggregated data. …”
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Acoustic Model with Multiple Lexicon Types for Indonesian Speech Recognition by Taufik Fuadi Abidin, Alim Misbullah, Ridha Ferdhiana, Laina Farsiah, Muammar Zikri Aksana, Hammam Riza

“…This research creates Indonesian speech recognition datasets from YouTube channels with subtitles by validating all utterances of downloaded audio to improve the data quality. The quality of the dataset was evaluated using a deep neural network. …”
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ARTIFICIAL INTELLIGENCE IN AGRICULTURE: CURRENT TRENDS AND INNOVATIONS by Jonathan Masasi, John N. Ng’ombe, Blessing Masasi

“…Furthermore, the challenges and limitations of AI adoption in agriculture, including data quality and availability, infrastructure requirements, and ethical considerations, are also discussed. …”
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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

“…Secondly, the challenges faced by DRL in quantitative trading in financial market were pointed out, including data quality issues, model stability issues, overfitting issues, etc. …”
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Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics by Jihan Wang, Zhengxiang Zhang, Yangyang Wang

“…However, challenges such as ensuring data quality, mitigating overfitting, and addressing scalability remain critical limitations of these methods. …”
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Optimizing Teacher Performance Through The Implementation Of Progressive Work Culture And Dynamic Leadership Styles by Asde Rahmamulyati, Yunus Handoko, Murtianingsih Murtianingsih

“…Data analysis uses data quality tests, classical assumption tests, multiple linear regression and hypothesis testing, namely coefficients of determination, t tests, and f test. …”
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Flood Evacuation in Informal Settlements: Application of an Agent-Based Model to Kibera Using Open Data by Olivia Butters, Richard J. Dawson

“…In this study, a model that was first applied in the UK is adapted and applied to simulate flood evacuations in Kibera, a densely populated informal settlement in Nairobi. Although data quality limits some of the model’s potential, the results reproduce patterns of observed behaviour. …”
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Life cycle assessment and material flow analysis of road and rail infrastructure assets – A critical review by Soroosh Ataee, André Stephan

“…The paper also highlights the research gaps and future research directions, such as integrating LCA and MFA, expanding the scope of transport infrastructure assets considered, improving the data quality and availability, and addressing the uncertainties and trade-offs in the assessment. …”
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A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising by Kezhao Li, Haofei Ban, Yingxiang Jiao, Shuaikang Lv

“…Hence, the source data quality is assured through wavelet denoising. And the accuracy of cycle slip detection and repair is improved by using the dual-frequency PIR combination. …”
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Bridging Big Data Analytics Capability and Competitive Advantage in China’s Agribusiness: The Mediator of Absorptive Capacity by Peng Zhang, Ramayah Thurasamy

“…Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on data collected from 287 agribusiness firms in China, the findings reveal that key resources—such as data quality, infrastructure, information systems, data governance, data-driven culture, managerial expertise, and technical proficiency—significantly influence BDAC. …”
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Examining the Peer-Reviewed Published Literature Regarding Low Back Pain in Rowing: A Scoping Review by Veronica Athy, Sylvia Hach, Helen Anderson, Jesse Mason

“…Methodological issues such as small sample size and barriers to injury reporting increased heterogeneity and decreased data quality. Further exploration is required to determine the mechanism of LBP in rowers through research with larger samples.…”
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Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification by Xiaohang Zhou, Lu Cao, Inamullah Khan, Qiao Li

“…First, EDA was adopted to inspect the data quality for removing the data measured from malfunctioning sensors. …”
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