Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients. by Maria Mahbub, Sudarshan Srinivasan, Ioana Danciu, Alina Peluso, Edmon Begoli, Suzanne Tamang, Gregory D Peterson

“…Accessibility of electronic health records (EHR) has enabled data-driven predictive modeling using machine learning. …”
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Energy-efficient and fast method on storage and querying in wireless sensor networks by PENG Shao-liang, LI Shan-shan, PENG Yu-xing, LIAO Xiang-ke, XIAO Nong

“…This work, focuses on unstructured random data storage and query. Since the energy is one of the most pre- cious resources, an MESQ optimization problem is formed whose aim is to select the optimum number of replicas and queries that minimize the total energy cost, subject to unrestrained or restrained storage. …”
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Evaluating the Effectiveness of Large Language Models in Converting Clinical Data to FHIR Format by Julien Delaunay, Daniel Girbes, Jordi Cusido

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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

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Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

Subjects: “…unstructured data…”
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PIRO: A web-based search platform for pathology reports, leveraging large language models to generate discrete searchable insights by Scott Robertson, Venkata Koppireddy, Jeremy Cumbo, Hooman Rashidi, Samer Albahra

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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

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NUMERICAL SIMULATION OF ELECTRICAL IMPEDANCE TOMOGRAPHY PROBLEM AND STUDY OF APPROACH BASED ON FINITE VOLUME METHOD by Ye. S. Sherina, A. V. Starchenko

“…Numerical tests were conducted on simulated data. The obtained results could be helpful to researches tackling the hardware and software issues for medical applications of EIT.…”
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<i>The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data</i> Ronen Feldman and James Sanger (Bar-Ilan University and ABS Ventures) Cambridge, England: Cambridge University Press, 2007, xii+410 pp; hardbound, ISBN 0-521-83657-3, $70.00 by Rada Mihalcea

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Vario-scale data structures by Radan Šuba

“…Finally, Section 3.7 presents vario-scale data research in parallel to this PhD for progressive data transfer. …”
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Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains by Nan Wang, Xiang Li, Zhe Suo, Jiuchen Fan, Jixin Wang, Dongxuan Xie

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Unifying Structured Data as Graph for Data-to-Text Pre-Training by Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li

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CLUSTER STRUCTURES AND THEIR APPLICATIONS IN DATA MINING by V. V. Krasnoproshin, V. G. Rodchanka

“…A notion of cluster structures is introduced. These structures can be used to identify and present the hidden knowledge" in data mining. …”
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Structuring and validation of photogrammetric territorial data by Ugo Falchi, Mariasofia Paparo

“… In the loving memory of Mariasofia Paparo, this publication focuses on the validation procedures of photogrammetric geographic information and the production and interpretation of complex reports, which are essential for handling the vast amount of generated data. Furthermore, sources of error in the structuring of geographic data and the quality parameters and conformity criteria necessary for the utilization of such data within the national geodatabase have been investigated. …”
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Structural health monitoring for mechanical structures using multi-sensor data by Jia-Wei Xiang, Zhi-Bo Yang, Jose L Aguilar

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Doubly Structured Data Synthesis for Time-Series Energy-Use Data by Jiwoo Kim, Changhoon Lee, Jehoon Jeon, Jungwoong Choi, Joseph H. T. Kim

“…This paper introduces Doubly Structured Data Synthesis (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>DS</mi><mn>2</mn></msup></semantics></math></inline-formula>), a novel method to tackle privacy concerns in time-series energy-use data. …”
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Structural Data Recognition With Graph Model Boosting by Tomo Miyazaki, Shinichiro Omachi

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Cardinality-constrained structured data-fitting problems by Fan, Zhenan, Fang, Huang, Friedlander, Michael P.

“…A memory-efficient solution framework is proposed for the cardinality-constrained structured data-fitting problem. Dual-based atom-identification rules reveal the structure of the optimal primal solution from near-optimal dual solutions, which allows for a simple and computationally efficient algorithm that translates any feasible dual solution into a primal solution satisfying the cardinality constraint. …”
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Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…A new logical model of the data warehouse with dynamic structure is proposed. …”
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Three-Way Merging Algorithm for Structured Data by Jan Janech, Patrik Hrkut, Matej Mesko, Marek Tavac

“…Since the diff3 algorithm is designed only for merging text files, we had to change it to enable data merging at the level of programming structures. …”
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