Research on real-world knowledge mining and knowledge graph completion (II): Methods and pro-gress of information extraction from unstructured electronic medical records by Si-Yu YAN, Xu-Hui LI, Mu-Kun CHEN, Hai-Feng ZHU, Jie-Jun TAN, Kuang GAO, Yong-Bo WANG, Qiao HUANG, Xiang-Ying REN, Ying-Hui JIN, Xing-Huan WANG

Subjects: “…unstructured data…”
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Big Data Technology：Current Applications and Prospects by Jianxin Liao

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Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences by Julia Walsh, Jonathan Cave, Frances Griffiths

“…ObjectiveThe study aims to (1) investigate how combining unsupervised natural language processing (NLP) and corpus linguistics can explore patient perspectives from a large unstructured dataset of modafinil experiences, (2) compare findings with Cochrane meta-analyses on modafinil’s effectiveness, and (3) develop a methodology for analyzing such data. …”
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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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Scene as Occupancy and Reconstruction: A Comprehensive Dataset for Unstructured Scene Understanding by Long Chen, Ruiqi Song, Hangbin Wu, Baiyong Ding, Lingxi Li, Fei-Yue Wang

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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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The role of passive surveillance and citizen science in plant health by Nathan Brown, Ana Pérez-Sierra, Peter Crow, Stephen Parnell

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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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Model Checking of Distributed Systems with Affine Data Structures by N. O. Garanina

“…A new data structure is suggested for symbolic model checking of distributed systems defined by linear functions of integer variables.…”
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Data structures for deductive simulation of HDL conditional operators by Yevhenii Shovkovyi, Olena Grinyova, Serhii Udovenko, Larysa Chala

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Data structures for deductive simulation of HDL conditional operators by Євгеній Шовковий, Олена Гриньова, Сергій Удовенко, Лариса Чала

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Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment Data by Wang KY, Mahesri M, Novoa-Laurentiev J, Bessette LG, York C, Zakoul H, Lee SB, Ngan K, Zhou L, Kim DH, Lin KJ

“…We applied an NLP approach to identify the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) scores from unstructured clinician notes in EHR. Using the NLP-extracted MoCA or MMSE scores from EHR, we compared mean differences of extracted MoCA or MMSE by cognition status determined by MDS (impaired vs intact cognition) and OASIS (severe impairment vs intact cognition) data, respectively.Results: Our study cohort had 7419 patients who had MDS (19.7%) or OASIS (80.3%) assessments, with a mean age of 80 (SD=7) years and 60% female. …”
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AUTOMATED BIM ENTITY RECONSTRUCTION FROM UNSTRUCTURED 3D POINTCLOUDS by Jan Voříšek, Bořek Patzák, Edita Dvořáková, Daniel Rypl

“…Laser scanning is used widely in architecture and construction to document existing buildings by providing accurate data for creating a 3D model. The output is a set of data points in space, so-called point cloud. …”
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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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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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Structural Data Recognition With Graph Model Boosting by Tomo Miyazaki, Shinichiro Omachi

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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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Structure preserving t-SNE of matrix framed data by Soohyun Ahn, Johan Lim, Wei Jiang, Sungim Lee, Xinlei Wang

“…These elements can take various forms, such as scalars, vectors, time series, matrices, or arrays. Existing data visualization methods aim to represent data elements of different groups without considering the underlying two-dimensional structure present in matrix-framed data. …”
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