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Titlebook: Health Information Processing; 8th China Conference Buzhou Tang,Qingcai Chen,Haitian Wang Conference proceedings 2023 The Editor(s) (if app

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發(fā)表于 2025-3-21 19:18:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Health Information Processing
副標(biāo)題8th China Conference
編輯Buzhou Tang,Qingcai Chen,Haitian Wang
視頻videohttp://file.papertrans.cn/425/424703/424703.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Health Information Processing; 8th China Conference Buzhou Tang,Qingcai Chen,Haitian Wang Conference proceedings 2023 The Editor(s) (if app
描述This book constitutes refereed proceedings of the?8th China Conference on?China Health Information Processing Conference?2022 held in Hangzhou, China from August 26–28, 2022..The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications.
出版日期Conference proceedings 2023
關(guān)鍵詞Medical Text mining or Data mining; Neural networks or Machine learning algorithms; Medical Natural la
版次1
doihttps://doi.org/10.1007/978-981-19-9865-2
isbn_softcover978-981-19-9864-5
isbn_ebook978-981-19-9865-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Health Information Processing影響因子(影響力)




書目名稱Health Information Processing影響因子(影響力)學(xué)科排名




書目名稱Health Information Processing網(wǎng)絡(luò)公開度




書目名稱Health Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Health Information Processing被引頻次




書目名稱Health Information Processing被引頻次學(xué)科排名




書目名稱Health Information Processing年度引用




書目名稱Health Information Processing年度引用學(xué)科排名




書目名稱Health Information Processing讀者反饋




書目名稱Health Information Processing讀者反饋學(xué)科排名




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Ming Yang,Yijia Zhang,Da Liu,Wei Du,Yide Di,Hongfei Lint introduction to the topic for beginners; the intention is rather to provide a guide to the current literature for researchers in algebraic specification and n978-3-540-54060-1978-3-540-47382-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
板凳
發(fā)表于 2025-3-22 00:35:59 | 只看該作者
Yu Song,Mingyu Gui,Chenxin Hu,Kunli Zhang,Shuai Zhang,Wenxuan Zhangt introduction to the topic for beginners; the intention is rather to provide a guide to the current literature for researchers in algebraic specification and n978-3-540-54060-1978-3-540-47382-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
地板
發(fā)表于 2025-3-22 07:39:30 | 只看該作者
Hybrid Granularity-Based Medical Event Extraction in?Chinese Electronic Medical Recordsing the harmful noise from useless sentences of original clinical text. Moreover, the results show that the multi-rule ensembler based medical feature word efficiently solves the problem of Chinese medical entities de-duplication and boundary ambiguity.
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An Semantic Similarity Matching Method for Chinese Medical Question Textanonical texts or the diversity of their expression ambiguities. To evaluate our model, we splice the dataset of Ping An Healthkonnect disease QA transfer learning competition and “public AI star” challenge - COVID-19 similar sentence judgment competition. Experimental results with CC19 dataset show
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發(fā)表于 2025-3-22 18:26:40 | 只看該作者
Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trialsies: ., ., ., ., ., 4 types of relations for composing variants, and 4 types of relations for representing semantics between variants and variants. Further, we developed an information extraction system that had two modules: (1) cascade extraction module based on the pre-trained model BERT, includin
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發(fā)表于 2025-3-23 00:02:16 | 只看該作者
Identification of Sepsis Subphenotypes Based on Bi-directional Long Short-Term Memory Auto-encoder Us (77.0%) with an overall in-hospital mortality rate of 2.9% in subphenotype 1, 120 (12.4%) with 10.0% mortality rate in subphenotype 2, and 103 (10.6%) with 78.6% mortality rate in subphenotype 3. Some laboratory biomarkers showed significant differences between different sepsis subphenotypes, such
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發(fā)表于 2025-3-23 05:03:07 | 只看該作者
Machine Learning for Multimodal Electronic Health Records-Based Research: Challenges and Perspectiveute of Electrical and Electronics Engineers (IEEE) Digital Library, PubMed, and Association for Computing Machinery (ACM) Digital Library for articles related to ML and DL-based multimodal EHR studies. With the final 94 included studies, we focus on how EHR data from different modalities were combin
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發(fā)表于 2025-3-23 07:09:46 | 只看該作者
Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritist frequently used drug pair for the disease. According to the result of Louvain algorithm, 119 communities are divided and core communities are further extracted. The discoveries are mapped and interpreted for clinical practices.
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