LEADER 00850nam a22002297i 4500 001 991004361137707536 005 20250113141944.0 008 250113s2001----gw | | 0 0 ger 020 $a3593367351 040 $aBibl. Dip.le Aggr. Scienze Giuridiche - Sez. Centro Studi sul Rischio$bita 082 04$a301 245 0 $aVertrauen :$bdie Grundlage des sozialen Zusammenhalts /$cHg. Martin Hartmann, Claus Offe 260 $aFrankfurt am Main :$bCampus,$cc2001 300 $a390 p. ;$c23 cm 490 1 $aTheorie und Gesellschaft ;$v50 650 4$aCooperazione$xTeorie 650 4$aFiducia 700 1 $aHartmann, Martin$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0196159 700 1 $aOffe, Claus$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0119350 912 $a991004361137707536 996 $aVertrauen$94307534 997 $aUNISALENTO LEADER 05321nam 22007815 450 001 9910996493303321 005 20250410133639.0 010 $a981-9637-52-X 024 7 $a10.1007/978-981-96-3752-2 035 $a(CKB)38338151100041 035 $a(DE-He213)978-981-96-3752-2 035 $a(MiAaPQ)EBC32006621 035 $a(Au-PeEL)EBL32006621 035 $a(OCoLC)1523375644 035 $a(EXLCZ)9938338151100041 100 $a20250410d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHealth Information Processing $e10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15?17, 2024, Proceedings, Part II /$fedited by Yanchun Zhang, Qingcai Chen, Hongfei Lin, Lei Liu, Xiangwen Liao, Buzhou Tang, Tianyong Hao, Zhengxing Huang 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XVIII, 286 p. 83 illus., 68 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2433 311 08$a981-9637-51-1 327 $a -- Mental health and disease prediction. -- Data Augmentation and Instruction Fine-Tuning for ADR Detection. -- Deep Fusion Network with Feature Engineering for Discharge Risk Assessment. -- Analysis of Risk Factors for Hemorrhagic Complications in Pediatric Acute Liver Failure. -- PMFNet: Pseudo-modal fusion network for obstructive sleep apnea detection using single-lead ECG signals. -- VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection. -- RAG Combined with Instruction Tuning for Traditional Chinese Medicine Syndrome Differentiation Thinking. -- Drug prediction and Knowledge map. -- MBF-DTI: A fused multi-dimensional biochemical feature-based drug target prediction method based on heterogeneous graph attention networks. -- Structure and pseudo-ligand based drug discovery for disease targets. -- Multi-channel hypergraph convolutional network predicts circRNA-drug sensitivity associations. -- Knowledge Infusion Framework with LLMs for Few-Shot Biomedical Relation Extraction. -- A review of drug-target interaction prediction methods. -- The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics. -- Multi-task learning-based knowledge graph question answering for pediatric epilepsy. -- Hypertension Medication Recommendation Based on Synergy and Selectivity of Heterogeneous Medical Entities. -- Integrating TCM's "One Root of Medicine and Food" Principle into Dietary Recommendations with Retrieval-Augmented LLMs. -- OAGLLM: A Retrieval-Augmented Large Language Model for Medication Instructions. 330 $aThis two-volume set CCIS 2432-2433 constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, during November 15?17, 2024. The 32 full papers included in this set were carefully reviewed and selected from 65 submissions. They are organized in topical sections as follows: biomedical data processing and model application; mental health and disease prediction; and drug prediction and knowledge map. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2433 606 $aMedical informatics 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aApplication software 606 $aInformation storage and retrieval systems 606 $aHealth Informatics 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer and Information Systems Applications 606 $aInformation Storage and Retrieval 615 0$aMedical informatics. 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aApplication software. 615 0$aInformation storage and retrieval systems. 615 14$aHealth Informatics. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer and Information Systems Applications. 615 24$aInformation Storage and Retrieval. 676 $a610.285 702 $aZhang$b Yanchun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Qingcai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLin$b Hongfei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Lei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiao$b Xiangwen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Buzhou$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHao$b Tianyong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHuang$b Zhengxing$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910996493303321 996 $aHealth information processing$93373035 997 $aUNINA