Reliability of administrative data to identify sexually transmitted infections for population health: a systematic review by Brian E Dixon, Saurabh Rahurkar, Yenling Ho, Janet N Arno

“…Introduction International Classification of Diseases (ICD) codes in administrative health data are used to identify cases of disease, including sexually transmitted infections (STIs), for population health research. …”
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Nearest neighbor search algorithm for high dimensional data based on weighted self-taught hashing by Cong PENG, Jiangbo QIAN, Huahui CHEN, Yihong DONG

“…Because of efficiency in query and storage,learning hash is applied in solving the nearest neighbor search problem.The learning hash usually converts high-dimensional data into binary codes.In this way,the similarities between binary codes from two objects are conserved as they were in the original high-dimensional space.In practical applications,a lot of data which have the same distance from the query point but with different code will be returned.How to reorder these candidates is a problem.An algorithm named weighted self-taught hashing was proposed.Experimental results show that the proposed algorithm can reorder the different binary codes with the same Hamming distances efficiently.Compared to the naive algorithm,the F1-score of the proposed algorithm is improved by about 2 times and it is better than the homologous algorithms,furthermore,the time cost is reduced by an order of magnitude.…”
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Nearest neighbor search algorithm for high dimensional data based on weighted self-taught hashing by Cong PENG, Jiangbo QIAN, Huahui CHEN, Yihong DONG

“…Because of efficiency in query and storage,learning hash is applied in solving the nearest neighbor search problem.The learning hash usually converts high-dimensional data into binary codes.In this way,the similarities between binary codes from two objects are conserved as they were in the original high-dimensional space.In practical applications,a lot of data which have the same distance from the query point but with different code will be returned.How to reorder these candidates is a problem.An algorithm named weighted self-taught hashing was proposed.Experimental results show that the proposed algorithm can reorder the different binary codes with the same Hamming distances efficiently.Compared to the naive algorithm,the F1-score of the proposed algorithm is improved by about 2 times and it is better than the homologous algorithms,furthermore,the time cost is reduced by an order of magnitude.…”
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Invasive and Noninvasive Multimodal Bedside Monitoring in Subarachnoid Hemorrhage: A Review of Techniques and Available Data by Baback Arshi, William J. Mack, Benjamin Emanuel

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Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool by Malory R. Jumat, Kwaku G. Duodu, Averalda E. van Graan

“…There is a wealth of South African scientific literature studying and reporting on dietary polyphenols in research articles and academic literature. The evaluation of data quality is critical to ensure polyphenol data compiled from various scientific journals and academic texts are acceptable in terms of compilation standards. …”
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Research on Data Transfer Method for Multi-physics Coupling Based on Unstructured Mesh Monte Carlo by LI Rui1, LIU Shichang1, , WANG Lipeng2, WANG Zhenyu1, CHEN Yixue1

“…This seamless integration of data between the two codes ensures that the integrity and accuracy of the multiphysics simulation are maintained. …”

Historical spatio-temporal data on North American radical environmental direct-action eventsDataverse by Zack W. Almquist, Benjamin E. Bagozzi, Daria Blinova

“…The article's event level data include information on event type, date and geolocation, and the target of each event, as well as the original textual reports of each coded event. …”
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Argon 4s and 4p Excited States Atomic Data Applied in ARC-JET Modeling by K. Katsonis, Ch. Berenguer, A. Kaminska, M. Dudeck

“…These data are used here to model a low-power arcjet, running with Argon at low pressure. …”
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The challenges of replication: A worked example of methods reproducibility using electronic health record data. by Richard Williams, Thomas Bolton, David Jenkins, Mehrdad A Mizani, Matthew Sperrin, Cathie Sudlow, Angela Wood, Adrian Heald, Niels Peek, CVD-COVID-UK/COVID-IMPACT Consortium

“…<h4>Conclusion</h4>Even with perfect code sharing, data reproducibility remains a challenge. …”
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Inferring Strain Mixture within Clinical Plasmodium falciparum Isolates from Genomic Sequence Data. by John D O'Brien, Zamin Iqbal, Jason Wendler, Lucas Amenga-Etego

“…Source code and example data for the model are provided in an open source fashion. …”
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Implementing GitHub Actions continuous integration to reduce error rates in ecological data collection by Albert Y. Kim, Valentine Herrmann, Ross Barreto, Brianna Calkins, Erika Gonzalez‐Akre, Daniel J. Johnson, Jennifer A. Jordan, Lukas Magee, Ian R. McGregor, Nicolle Montero, Karl Novak, Teagan Rogers, Jessica Shue, Kristina J. Anderson‐Teixeira

“…By implementing CI, researchers can ensure that datasets are free of any errors for which a test can be coded. The result is dramatically improved data quality, increased skill among field technicians, and reduced need for expert oversight. …”
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Herschel vision: A hyperspectral image processing software for data preparation in machine learning pipelines by Billy G. Ram, Sunil GC, Xin Sun

“…Herschel Vision can handle proximally recorded hyperspectral data for curation of machine learning and deep learning training datasets.…”
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Validating adverse events in administrative healthcare data in ireland: a retrospective chart review study by Anna Connolly, Maria Unbeck, Fiachra Bane, Kasia Bail, Margaret Craig, Anne Matthews, Anthony Staines, Marcia Kirwan

“…Since HIPE only codes the presence of the respective adverse event once, the comparisons between the HIPE data and the chart review data were carried out at admission level. …”
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Errors in the information (data) contained in the Unified State Register of Legal Entities: types and methods of elimination by A. V. Gabov

“…The issue of reliability (unreliability) of information (data) included in the Unified State Register of Legal Entities has increased after the amendments made to the Russian Civil Code in 2013 and to the Russian legislation on state registration of legal entities in 2015. …”
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Multiple-Valued Logic, Vocabulary Structure, and Linked List for Data Verification in Dialog Communications of Agents by Alexey Bykovsky

“…Selective extraction of data for such checks is proposed to involve the special ordered set of vocabularies, containing coded digital words and classifying parameters of agents, tasks, objects, and events. …”
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Four groups of noncommunicable diseases in outpatient health care: analysis of medical information system data by Ekaterina P. Kakorina, Irina V. Samorodskaya, Vera N. Larina, Vladimir G. Larin

“…MATERIALS AND METHODS: Depersonalized individual-level data were collected for 86 266 deceased individuals who had sought care for any reason at public outpatient clinics in the Moscow region during the year preceding death. …”
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GELSTATS: A Computer Program for Population Genetics Analyses Using VNTR Multilocus Probe Data by Steven H. Rogstad, Stephan Pelikan

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The Potential to Leverage Real-World Data for Pediatric Clinical Trials: A Proof-of-Concept Study by Jens Declerck, Joanne Lee, Anando Sen, Avril Palmeri, Rianne Oostenbrink, Viviana Giannuzzi, Simon Woodworth, Salma Malik, Fenna Mahler, Beate Aurich, Rebecca Leary, Dipak Kalra, Volker Straub

“…Respondents were asked to indicate how each data item is collected and stored: in structured/coded EHR fields, as free text, in external systems, or on paper. …”
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Two decades of three-dimensional movement data from adult female northern elephant seals by Daniel P. Costa, Rachel R. Holser, Theresa R. Keates, Taiki Adachi, Roxanne S. Beltran, Cory D. Champagne, Daniel E. Crocker, Arina B. Favilla, Melinda A. Fowler, Juan Pablo Gallo-Reynoso, Chandra Goetsch, Jason L. Hassrick, Luis A. Hückstädt, Jessica M. Kendall-Bar, Sarah S. Kienle, Carey E. Kuhn, Jennifer L. Maresh, Sara M. Maxwell, Birgitte I. McDonald, Elizabeth A. McHuron, Patricia A. Morris, Yasuhiko Naito, Logan J. Pallin, Sarah H. Peterson, Patrick W. Robinson, Samantha E. Simmons, Akinori Takahashi, Nicole M. Teuschel, Michael S. Tift, Yann Tremblay, Stella Villegas-Amtmann, Ken Yoda

“…This paper outlines the compilation and curation process of these high-resolution diving and location data, now accessible in two Dryad repositories. The code used for data processing alongside the corresponding workflow is available through GitHub and Zenodo. …”
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MedSegBench: A comprehensive benchmark for medical image segmentation in diverse data modalities by Zeki Kuş, Musa Aydin

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