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检索条件"主题词=bidirectional encoder representations from transformers"
116 条 记 录,以下是21-30 订阅
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Adapting transformer-based language models for heart disease detection and risk factors extraction
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JOURNAL OF BIG DATA 2024年 第1期11卷 47页
作者: Houssein, Essam H. Mohamed, Rehab E. Hu, Gang Ali, Abdelmgeid A. Minia Univ Fac Comp & Informat Al Minya Egypt Xian Univ Technol Dept Appl Math Xian 710054 Peoples R China
Efficiently treating cardiac patients before the onset of a heart attack relies on the precise prediction of heart disease. Identifying and detecting the risk factors for heart disease such as diabetes mellitus, Coron... 详细信息
来源: 评论
Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks
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Computers, Materials & Continua 2024年 第8期80卷 3221-3242页
作者: Ayesha Khaliq Salman Afsar Awan Fahad Ahmad Muhammad Azam Zia Muhammad Zafar Iqbal Department of Computer Science University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan School of Computing Faculty of TechnologyUniversity of PortsmouthSouthseaPortsmouthPO12UPUK Department of Mathematics and Statistics University of Agriculture FaisalabadFaisalabadPunjab37300Pakistan
The rapid expansion of online content and big data has precipitated an urgent need for efficient summarization techniques to swiftly comprehend vast textual documents without compromising their original *** approaches... 详细信息
来源: 评论
Legal information extraction and classification using BERT, Bi-LSTM, and CRF models
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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2025年
作者: Li, Jingwei Xi An Jiao Tong Univ Coll Law 28 Xianning West Rd Xian 710049 Shaanxi Peoples R China
This article combined BERT (bidirectional encoder Representation from transformers), Bi-LSTM (bidirectional Long Short-Term Memory), and CRF (Conditional Random Field) models to transform unstructured legal text into ... 详细信息
来源: 评论
Preschool language development prediction model based on deep learning: Cross-cultural validity evaluation
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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2025年
作者: Sun, Yuanyuan Huo, Jiasong ZhongYuan Inst Sci & Technol Fac Educ & Art Zhengzhou Peoples R China Zhengzhou Univ Sch Management 100 Kexue Ave Zhengzhou 450001 Peoples R China
Traditional research on preschool language development often fails to capture the complex nonlinear relationships and high-dimensional characteristics of language growth, leading to low prediction accuracy and poor cr... 详细信息
来源: 评论
Using transformer-based models and social media posts for heat stroke detection
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SCIENTIFIC REPORTS 2025年 第1期15卷 1-9页
作者: Anno, Sumiko Kimura, Yoshitsugu Sugita, Satoru Sophia Univ Grad Sch Global Environm Studies Tokyo Japan Yanagi Pearls Shima Mie Japan Chubu Univ Chubu Inst Adv Studies Kasugai Aichi Japan
Event-based surveillance is crucial for the early detection and rapid response to potential public health risks. In recent years, social networking services (SNS) have been recognized for their potential role in this ... 详细信息
来源: 评论
The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review
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JMIR MEDICAL INFORMATICS 2024年 12卷 e53787页
作者: Preiksaitis, Carl Ashenburg, Nicholas Bunney, Gabrielle Chu, Andrew Kabeer, Rana Riley, Fran Ribeira, Ryan Rose, Christian Stanford Univ Sch Med Dept Emergency Med 900 Welch Rd Suite 350 Palo Alto CA 94304 USA
Background: Artificial intelligence (AI), more specifically large language models (LLMs), holds significant potential in revolutionizing emergency care delivery by optimizing clinical workflows and enhancing the quali... 详细信息
来源: 评论
Exploring Public Emotions on Obesity During the COVID-19Pandemic Using Sentiment Analysis and Topic Modeling:Cross-Sectional Study
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JOURNAL OF MEDICAL INTERNET RESEARCH 2024年 26卷 e52142页
作者: Correia, Jorge Cesar Ahmad, Sarmad Shaharyar Waqas, Ahmed Meraj, Hafsa Pataky, Zoltan Univ Hosp Geneva WHO Collaborating Ctr Unit Therapeut Patient Educ Chemin Venel 7 CH-1206 Geneva Switzerland Univ Geneva Chemin Venel 7 CH-1206 Geneva Switzerland Liverpool Hope Univ Sch Math Comp Sci & Engn Liverpool England Univ Liverpool Inst Populat Hlth Dept Primary Care & Mental Hlth Liverpool England Greater Manchester Mental Hlth NHS Fdn Trust Salford England
Background: Obesity is a chronic, multifactorial, and relapsing disease, affecting people of all ages worldwide, and is directly related to multiple complications. Understanding public attitudes and perceptions toward... 详细信息
来源: 评论
CGDGMDA-Net: discovering microbe-disease and drug associations through CTGAN and graph-based deep learning
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NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS 2024年 第1期13卷 48页
作者: Naik, Anushka Patwardhan, Ishan Joshi, Amit COEP Technol Univ COEP Tech Dept Comp Sci & Engn Wellesley Rd Pune 411005 Maharashtra India
This research proposes a novel method for enhancing the prediction of microbe-disease associations and the identification of possible drug treatments through the utilization of advanced computational strategies. The f... 详细信息
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Aspect term extraction and optimized deep learning for sentiment classification
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SOCIAL NETWORK ANALYSIS AND MINING 2024年 第1期14卷 221页
作者: Adilakshmi, Konda Srinivas, Malladi Anuradha, K. Srilakshmi, V. Koneru Lakshmaiah Educ Fdn Dept CSE Vaddeswaram Andhra Prades India Gokaraju Rangaraju Inst Engn & Technol GRIET Dept CSE Hyderabad 500090 India
Sentiment or opinion largely relies on public commentary, where reflections are either positive or negative. Sentiment classification automates the process of determining the orientation of a subject based on text, wh... 详细信息
来源: 评论
GBRE-AHB: contextual understanding for cross-domain aspect categorization with adaptive hyperparameter tuning
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SIGNAL IMAGE AND VIDEO PROCESSING 2024年 第SUPPL 1期18卷 43-55页
作者: Kumaragurubaran, T. Chiranjeevi, V. Rahul Elangovan, D. Kumar, S. Vinodh Rajalakshmi Engn Coll Dept Comp Sci & Engn Chennai Tamil Nadu India Panimalar Engn Coll Dept Comp Sci & Engn Chennai Tamil Nadu India
The cross-domain aspect detection and categorization is a vital task in natural language processing, enabling the automated identification and categorization of aspects in textual data spanning diverse domains. Tradit... 详细信息
来源: 评论