標(biāo)題: Titlebook: Health Information Processing; 9th China Health Inf Hua Xu,Qingcai Chen,Zhengxing Huang Conference proceedings 2024 The Editor(s) (if appli [打印本頁(yè)] 作者: 烤問 時(shí)間: 2025-3-21 17:07
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
作者: 除草劑 時(shí)間: 2025-3-21 22:56 作者: 孤僻 時(shí)間: 2025-3-22 02:31 作者: anticipate 時(shí)間: 2025-3-22 08:21
https://doi.org/10.1007/978-981-99-9864-7medical text mining or data mining; neural networks or machine learning algorithms; medical natural la作者: 香料 時(shí)間: 2025-3-22 09:58
Jiangfeng Xu,Yuting Li,Kunli Zhang,Wenxuan Zhang,Chenghao Zhang,Yuxiang Zhang,Yunlong Lir logic-based language. The model captures the interaction of agents in terms of the actions they engage into and of the dynamic creation of names. The model is adequate for reasoning about a notion of operational equivalence. We will also suggest how a partial order semantics can be derived from the present approach.作者: 1FAWN 時(shí)間: 2025-3-22 15:01 作者: Euthyroid 時(shí)間: 2025-3-22 19:59 作者: Champion 時(shí)間: 2025-3-23 00:44
Dongmei Li,Dongling Li,Jinghang Gu,Longhua Qian,Guodong ZhouWe try to make a distinction between the idea of representing and that of interpreting a mathematical structure. We present a slight generalization of Di Nola’s Representation Theorem as to incorporate this point of view. Furthermore, we examine some preservation and functorial aspects of the Boolean power construction.作者: GROG 時(shí)間: 2025-3-23 04:13 作者: 有說服力 時(shí)間: 2025-3-23 07:02 作者: 實(shí)施生效 時(shí)間: 2025-3-23 10:55
PEMRC: A Positive Enhanced Machine Reading Comprehension Method for?Few-Shot Named Entity Recognitio in identifying the start and end positions of entities under low-resources scenarios. Extensive experimental results on eight benchmark datasets in biomedical domain show that PEMRC significantly improves the performance of few-shot NER.作者: Gastric 時(shí)間: 2025-3-23 15:51 作者: 軍火 時(shí)間: 2025-3-23 19:45
Conference proceedings 2024ctober 27–29, 2023.?.The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications..作者: compose 時(shí)間: 2025-3-24 00:01 作者: 勾引 時(shí)間: 2025-3-24 06:13 作者: 殘暴 時(shí)間: 2025-3-24 08:44 作者: commonsense 時(shí)間: 2025-3-24 12:37 作者: 該得 時(shí)間: 2025-3-24 17:54 作者: exquisite 時(shí)間: 2025-3-24 19:32 作者: legitimate 時(shí)間: 2025-3-25 01:16
n results include an extension of many-sorted equational logic to universal quantification over functions, some techniques for handling first order logic, and some structural induction principles. The OBJ language is used for illustration, and initiality is a recurrent theme.作者: 鍍金 時(shí)間: 2025-3-25 04:16
Kunli Shi,Gongchi Chen,Jinghang Gu,Longhua Qian,Guodong Zhou theory is described and may be viewed as an extension of the one initially designed by G. Dowek, T. Hardin and C. Kirchner for performing unification of simply typed λ-terms in a first-order setting via the λσ-calculus of explicit substitutions. Additional rules are used to deal with the interaction between E and λσ.作者: 簡(jiǎn)略 時(shí)間: 2025-3-25 09:09 作者: 割讓 時(shí)間: 2025-3-25 15:18 作者: BOOR 時(shí)間: 2025-3-25 19:39 作者: 慟哭 時(shí)間: 2025-3-25 22:18
A Simple but Useful Multi-corpus Transferring Method for Biomedical Named Entity Recognition the current methods and improve its performance. Our method provides a potential solution for biomedical NER enhancement from data perspective, and it could further improve biomedical information extraction with the help of increasingly public available corpus.作者: 興奮過度 時(shí)間: 2025-3-26 00:29
A BART-Based Study of?Entity-Relationship Extraction for?Electronic Medical Records of?CardiovasculaCMeIE. The experimental results demonstrate the effectiveness of both models. Compared to the state-of-the-art baseline model, Cas-CLN, JREwBART achieved an improvement of ., ., and . in terms of F1 score on the three datasets, respectively. PRE-BARTaBT showed F1 score improvements of ., ., and . on the same datasets, respectively.作者: AGATE 時(shí)間: 2025-3-26 08:05
Multi-head Attention and Graph Convolutional Networks with Regularized Dropout for Biomedical Relatitext, and finally R-Drop regularization method to enhance network performance. Extensive results on a medical corpus extracted from PubMed show that our model achieves better performance than existing methods.作者: 植物茂盛 時(shí)間: 2025-3-26 11:52 作者: GROWL 時(shí)間: 2025-3-26 13:59 作者: pacific 時(shí)間: 2025-3-26 18:21
y successful proofs often return information that suggests what to try next. The theoretical framework makes extensive use of general algebra, and main results include an extension of many-sorted equational logic to universal quantification over functions, some techniques for handling first order lo作者: 牙齒 時(shí)間: 2025-3-26 21:36
Kunli Shi,Gongchi Chen,Jinghang Gu,Longhua Qian,Guodong Zhounion of two non-disjoint equational theories including . and a calculus of explicit substitutions. A rule-based unification procedure in this combined theory is described and may be viewed as an extension of the one initially designed by G. Dowek, T. Hardin and C. Kirchner for performing unification作者: Conclave 時(shí)間: 2025-3-27 03:27
Yuehu Dong,Dongmei Li,Jinghang Gu,Longhua Qian,Guodong Zhoul generator and theorem prover Satchmo. In addition to clausal first order logic, CPUHR tableaux are able to manipulate existentially quantified variables without Skolemization, and they allow to attach constraints to these variables as in constraint logic programming. This extension allows to handl作者: 暗語 時(shí)間: 2025-3-27 06:32
Jiangfeng Xu,Yuting Li,Kunli Zhang,Wenxuan Zhang,Chenghao Zhang,Yuxiang Zhang,Yunlong Lir logic-based language. The model captures the interaction of agents in terms of the actions they engage into and of the dynamic creation of names. The model is adequate for reasoning about a notion of operational equivalence. We will also suggest how a partial order semantics can be derived from th作者: 發(fā)誓放棄 時(shí)間: 2025-3-27 12:20 作者: jagged 時(shí)間: 2025-3-27 16:53 作者: Bridle 時(shí)間: 2025-3-27 20:32
Yifan Guo,Hongying Zan,Hongyang Chang,Lijuan Zhou,Kunli Zhangstrial yeast strains to specific vineyards. The economic impact of these challenges is significant: worldwide losses from stuck or sluggish fermentations are estimated at 7 billion €?annually, and yeast starter production is a highly competitive market estimated at 40 million €?annually. Additionall作者: engagement 時(shí)間: 2025-3-27 23:54 作者: osculate 時(shí)間: 2025-3-28 05:17 作者: 異教徒 時(shí)間: 2025-3-28 07:00
Huixian Cai,Jianyuan Yuan,Guoming Sang,Zhi Liu,Hongfei Lin,Yijia Zhang) from two sources of information: dynamic models of systems consisting in first order differential equations relating all system quantities, and online measurements of some of these quantities. For nonlinear systems the classical approach stems from the work of R.?E. Kalman on the distinguishabilit作者: 戲法 時(shí)間: 2025-3-28 11:09
Wenjun Xiang,Zhichang Zhang,Ziqin Zhang,Deyue Ying when all the solutions of two linear functional systems are in a one-to-one correspondence. To do that, we first provide a new characterization of isomorphic finitely presented modules in terms of inflation of their presentation matrices. We then prove several isomorphisms which are consequences o作者: left-ventricle 時(shí)間: 2025-3-28 16:30
DeYue Yin,ZhiChang Zhang,Hao Wei,WenJun Xiangg when all the solutions of two linear functional systems are in a one-to-one correspondence. To do that, we first provide a new characterization of isomorphic finitely presented modules in terms of inflation of their presentation matrices. We then prove several isomorphisms which are consequences o作者: Trigger-Point 時(shí)間: 2025-3-28 21:16
ion for linear systems and to present novel algebraic methods in the case of several variables. The state-of-art in the introduction is followed by a brief description of the methodology in the subsequent sections. Our new algebraic methods are illustrated by two examples in the multidimensional cas作者: 重畫只能放棄 時(shí)間: 2025-3-28 23:11 作者: APNEA 時(shí)間: 2025-3-29 04:51
Cross-Lingual Name Entity Recognition from Clinical Text Using Mixed Language Querynsferring knowledge from high-resource languages. Particularly, in the clinical domain, the lack of annotated corpora for Cross-Lingual NER hinders the development of cross-lingual clinical text named entity recognition. By leveraging the English clinical text corpus I2B2 2010 and the Chinese clinic作者: 艱苦地移動(dòng) 時(shí)間: 2025-3-29 07:35
PEMRC: A Positive Enhanced Machine Reading Comprehension Method for?Few-Shot Named Entity Recognitio .achine .eading .omprehension). PEMRC is based on the idea of using machine reading comprehension reading comprehension (MRC) framework to perfome few-shot NER and fully exploit the prior knowledge implied in the label information. On one hand, we design three different query templates to better in作者: dainty 時(shí)間: 2025-3-29 14:31
Medical Entity Recognition with Few-Shot Based on Chinese Character Radicalsht, we proposed the CSR-ProtoLERT model to integrate Chinese character radical information into few-shot entity recognition to enhance the contextual representation of the text. We optimized the pre-training embeddings, extracted radicals corresponding to Chinese characters from an online Chinese di作者: 有危險(xiǎn) 時(shí)間: 2025-3-29 17:04
Biomedical Named Entity Recognition Based on?Multi-task Learningextract key information from large amounts of text quickly and accurately. But the problem of unclear boundary recognition and underutilization of hierarchical information has always existed in the task of entity recognition in the biomedical domain. Based on this, the paper proposes a novel Biomedi作者: RAG 時(shí)間: 2025-3-29 23:48 作者: debble 時(shí)間: 2025-3-30 01:54 作者: 紋章 時(shí)間: 2025-3-30 05:33
Multi-head Attention and Graph Convolutional Networks with Regularized Dropout for Biomedical Relati extracted medical relations can be used in clinical diagnosis, medical knowledge discovery, and so on. The benefits for pharmaceutical companies, health care providers, and public health are enormous. Previous studies have shown that both semantic information and dependent information in the corpus作者: 一窩小鳥 時(shí)間: 2025-3-30 08:44
Biomedical Causal Relation Extraction Incorporated with External Knowledgeies, semantic relations and function type. In recent years, some related works have largely improved the performance of biomedical causal relation extraction. However, they only focus on contextual information and ignore external knowledge. In view of this, we introduce entity information from exter作者: COST 時(shí)間: 2025-3-30 13:35 作者: Palter 時(shí)間: 2025-3-30 18:07 作者: allergy 時(shí)間: 2025-3-31 00:30
Chapter-Level Stepwise Temporal Relation Extraction Based on?Event Information for?Chinese Clinical of many intelligent researches in the medical field. Most of the existing studies on temporal relation extraction remains at sentence-level tasks, however, the rich medical information and large number of specialized vocabularies in Chinese clinical medical texts lead to the fact that short clinica作者: 6Applepolish 時(shí)間: 2025-3-31 03:30 作者: 放逐 時(shí)間: 2025-3-31 06:41
Biomedical Event Detection Based on Dependency Analysis and Graph Convolution Networkdrug development. The existing methods treat event detection tasks as multi-classification or sequence annotation tasks, only considering the sequence representation of sentences and striving to obtain more contextual information in sequence models. However, they overlook the shortcomings of sequenc作者: 瑪瑙 時(shí)間: 2025-3-31 11:26 作者: 屈尊 時(shí)間: 2025-3-31 15:10
Privacy-Preserving Medical Dialogue Generation Based on?Federated Learning in privacy-sensitive domains like healthcare, concerns related to legal regulations and data security continue to pose challenges, resulting in data silos as a major barrier to building secure medical dialogue generation models. Federated learning is a distributed model training approach that allow作者: Cabinet 時(shí)間: 2025-3-31 19:50
FgKF: Fine-Grained Knowledge Fusion for Radiology Report Generationeration of image-to-report can effectively relieve pressure on physicians. The generation of radiology reports utilizes the terminology and expertise inherent to the field of radiology. The integration of this specialized knowledge into automated report generation not only enhances the precision of
