Del i serien Communications in Computer and Information Science

Health Information Processing. Evaluation Track Papers

8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers

Häftad, Engelska, 2023

AvBuzhou Tang,Qingcai Chen,Hongfei Lin,Fei Wu,Lei Liu,Tianyong Hao,Yanshan Wang,Haitian Wang,Jianbo Lei,Zuofeng Li,Hui Zong

1 109 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21–23, 2022. The 20 full papers included in this book were carefully reviewed and selected from 20 submissions.

Produktinformation

Utgivningsdatum2023-07-22
Mått155 x 235 x 14 mm
Vikt382 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor230
FörlagSpringer Verlag, Singapore
ISBN9789819948253

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Hälsoinformatik inom Medicin
Artificiell intelligens inom Data och IT

Text Mining for Gene-Disease Association Semantic.- Text Mining Task for “Gene-Disease” Association Semantics in CHIP 2022.- Hierarchical Global Pointer Network: An Implicit Relation Inference Method for Gene-Disease Knowledge Discovery.- A Knowledge-based Data Augmentation Framework for Few-Shot Biomedical Information Extraction.- Biomedical Named Entity Recognition Under Low-Resource Situation.- Medical Causal Entity and Relation Extraction.- CHIP2022 Shared Task Overview: Medical Causal Entity Relationship Extraction.- Domain Robust Pipeline for Medical Causal Entity and Relation Extraction Task.- A Multi-span-based Conditional Information Extraction Model.- Medical Causality Extraction: A Two-Stage Based Nested Relation Extraction Model.- Medical Decision Tree Extraction from Unstructured Text.- Extracting Decision Trees from Medical Texts: an Overview of the Text2DT Track in CHIP2022.- Medical Decision Tree Extraction: A Prompt Based Dual Contrastive Learning Method.- An automatic construction method of diagnosis and treatment decision tree based on UIE and logical rules.- Research on Decision Tree Method of Medical Text Based on Information Extraction.- OCR of Electronic Medical Document.- Information extraction of Medical Materials: an Overview of the track of Medical Material MedOCR.- TripleMIE: Multi-Modal and Multi architecture Information Extraction.- Multimodal end-to-end visual document parsing.- Improving Medical OCR Information Extraction with Integrated Bert and LayoutXLM Models.- Clinical Diagnostic Coding.- Overview of CHIP 2022 Shared Task 5: Clinical Diagnostic Coding.- Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling.- Rule-enhanced Disease Coding Method based on Roberta.- Diagnosis Coding Rule-Matching Based on Characteristic Words and Dictionaries.