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| http://dx.doi.org/10.17294/2330-0698.1879 | DOI Listing |
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CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability.
Sci Rep
January 2025
School of Economics and Management, Beijing jiaotong University, Shandong, 264401, China.
Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational complexity and interpretability. In this work, we propose CoGraphNet, a novel graph-based model for text classification, addressing key issues.
View Article and Find Full Text PDFSign recognition: the effect of parameters and features in sign mispronunciations.
Linguist Vanguard
December 2024
Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), Ecole Normale Supérieure - PSL, 29 rue d'Ulm, 75005 Paris, France.
We investigate the degree to which mispronounced signs can be accommodated by signers of French Sign Language (LSF). Using an offline judgment task, we examine both the individual contributions of three parameters - handshape, movement, and location - to sign recognition, and the impact of the individual features that were manipulated to obtain the mispronounced signs. Results indicate that signers judge mispronounced handshapes to be less damaging for well-formedness than mispronounced locations or movements.
View Article and Find Full Text PDFA topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information.
Sci Rep
December 2024
Department of CSE, Adama Science and Technology University, Oromia, Ethiopia.
Afaan Oromo is a resource-scarce language with limited tools developed for its processing, posing significant challenges for natural language tasks. The tools designed for English do not work efficiently for Afaan Oromo due to the linguistic differences and lack of well-structured resources. To address this challenge, this work proposes a topic modeling framework for unstructured health-related documents in Afaan Oromo using latent dirichlet allocation (LDA) algorithms.
View Article and Find Full Text PDFAssociation between anion gap/calcium ratio and 30-day all-cause mortality in sepsis patients with diabetes mellitus.
Sci Rep
December 2024
Department of Endocrinology and Metabolism, Chengdu First People's Hospital, No.18 North Vientiane Road, High-Tech Zone, Chengdu, 610000, Sichuan, China.
We aimed to determine the association between anion gap-to-calcium ratio (ACR) and 30-day mortality in sepsis patients with diabetes mellitus (DM). Data for sepsis patients diagnosed with DM was extracted from Medical Information Mart for Intensive Care Database IV. After screening, 4429 eligible subjects were included in our study finally.
View Article and Find Full Text PDFClarifying the Actual Situation of Old-Old Adults with Unknown Health Conditions and Those Indifferent to Health Using the National Health Insurance Database (KDB) System.
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December 2024
Department of Community Medical and Welfare, Tokushima University Graduate School of Biomedical Sciences, Tokushima 770-8504, Japan.
: This study aimed to investigate the actual situation of individuals with unknown health conditions (UHCs) and those indifferent to health (IH) among old-old adults (OOAs) aged 75 years and above using the National Health Insurance Database (KDB) system. : A total of 102 individuals with no history of medical examinations were selected from the KDB system in a city in Japan. Data were collected through home visit interviews and blood pressure monitors distributed by public health nurses (PHNs) from Community Comprehensive Support Centers (CCSCs).
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