Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

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Comprehensive Review of Multimodal Medical Data Analysis: Open Issues and Future Research Directions by Shashank Shetty, Ananthanarayana V S, Ajit Mahale

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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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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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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…With this approach, unstructured information could be transformed into a structured format. …”
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Unstructured road semantic segmentation method based on 3D point cloud of open pit mine by Caiwu LU, Jianan XUE, Meng LI, Shengyu YAN, sai ZHANG, Song JIANG, Runfeng HE

“…Compared with urban structured roads, unstructured roads in open pit mining scenarios are characterized by fuzzy road and terrain boundary features, no obvious road edges, and large spatial 3D coordinate spans. …”
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Vision-Based Branch Road Detection for Intersection Navigation in Unstructured Environment Using Multi-Task Network by Joonwoo Ahn, Yangwoo Lee, Minsoo Kim, Jaeheung Park

“…Autonomous vehicles need a driving method to be less dependent on localization data to navigate intersections in unstructured environments because these data may not be accurate in such environments. …”
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Collision Detection Algorithms for Autonomous Loading Operations of LHD-Truck Systems in Unstructured Underground Mining Environments by Mingyu Lei, Pingan Peng, Liguan Wang, Yongchun Liu, Ru Lei, Chaowei Zhang, Yongqing Zhang, Ya Liu

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Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing by Marta Fernandes, M. Brandon Westover, Aneesh B. Singhal, Sahar F. Zafar

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Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification by Bauke Arends, Melle Vessies, Dirk van Osch, Arco Teske, Pim van der Harst, René van Es, Bram van Es

“…This study tests the feasibility of automatic span- and document-level diagnosis extraction from unstructured Dutch echocardiogram reports. Methods We included 115,692 unstructured echocardiogram reports from the University Medical Center Utrecht, a large university hospital in the Netherlands. …”
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Convergence Analysis on Unstructured Meshes of a DDFV Method for Flow Problems with Full Neumann Boundary Conditions by A. Kinfack Jeutsa, A. Njifenjou, J. Nganhou

“…A Discrete Duality Finite Volume (DDFV) method to solve on unstructured meshes the flow problems in anisotropic nonhomogeneous porous media with full Neumann boundary conditions is proposed in the present work. …”
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An automated information extraction model for unstructured discharge letters using large language models and GPT-4 by Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch

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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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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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T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation by Xin Tong, Jingya Wang, Yasen Aizezi, Hanming Zhai, Bo Jin

“…To address these limitations, this study proposes an innovative multi-agent framework-T2F (Text-to-Factuality)-designed to automatically convert unstructured text into high-quality factuality evaluation datasets. …”
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Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records by Daniel C. Thompson, Reza Mofidi

“…This study aimed to develop NLP models for identifying and classifying abdominal aortic aneurysm (AAA) repairs from unstructured EHRs, demonstrating a proof-of-concept for automated patient identification in registries like the National Vascular Registry. …”
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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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Automated analysis of unstructured clinical assessments improves emergency department triage performance: A retrospective deep learning analysis by Dana R. Sax, E. Margaret Warton, Oleg Sofrygin, Dustin G. Mark, Dustin W. Ballard, Mamata V. Kene, David R. Vinson, Mary E. Reed

“…We explored the use of electronic health record data and advanced predictive analytics to improve triage performance. …”
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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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