Nothing Special   »   [go: up one dir, main page]

Zhang et al., 2020 - Google Patents

Knowledge-enabled diagnosis assistant based on obstetric EMRs and knowledge graph

Zhang et al., 2020

View PDF
Document ID
10958402197771883817
Author
Zhang K
Zhao X
Zhuang L
Xie Q
Zan H
Publication year
Publication venue
China National Conference on Chinese Computational Linguistics

External Links

Snippet

The obstetric E lectronic M edical R ecord (EMR) contains a large amount of medical data and health information. It plays a vital role in improving the quality of the diagnosis assistant service. In this paper, we treat the diagnosis assistant as a multi-label classification task and …
Continue reading at aclanthology.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2705—Parsing
    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30731—Creation of semantic tools
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/2872—Rule based translation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks

Similar Documents

Publication Publication Date Title
Li et al. A hybrid medical text classification framework: Integrating attentive rule construction and neural network
Qin et al. A BERT‐BiGRU‐CRF Model for Entity Recognition of Chinese Electronic Medical Records
CN117077786A (en) Knowledge graph-based data knowledge dual-drive intelligent medical dialogue system and method
Liu et al. Recognition and extraction of named entities in online medical diagnosis data based on a deep neural network
Wu et al. KAICD: A knowledge attention-based deep learning framework for automatic ICD coding
Lan et al. Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Chen et al. Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT
Liu et al. Deep neural network-based recognition of entities in Chinese online medical inquiry texts
Guo et al. A multi-layer soft lattice based model for Chinese clinical named entity recognition
Zhang et al. Topic-informed neural approach for biomedical event extraction
Kim et al. Constructing novel datasets for intent detection and ner in a korean healthcare advice system: guidelines and empirical results
Schicchi et al. Machine learning models for measuring syntax complexity of english text
Jin et al. Named entity recognition in traditional Chinese medicine clinical cases combining BiLSTM-CRF with knowledge graph
Melnyk et al. Generative artificial intelligence terminology: a primer for clinicians and medical researchers
Wu et al. Named entity recognition of rice genes and phenotypes based on BiGRU neural networks
Zhang et al. Knowledge-enabled diagnosis assistant based on obstetric EMRs and knowledge graph
Vithanage et al. Contextual Word Embedding for Biomedical Knowledge Extraction: A Rapid Review and Case Study
Cai et al. EMBERT: A pre-trained language model for Chinese medical text mining
Lu et al. Application of Entity-BERT model based on neuroscience and brain-like cognition in electronic medical record entity recognition
Zhang et al. Disease-pertinent knowledge extraction in online health communities using GRU based on a double attention mechanism
Zhao et al. Attention Matching Network for few-shot learning in the syndrome differentiation of cerebral stroke
Lin et al. Research on named entity recognition of traditional Chinese medicine electronic medical records
Fu et al. Atnet: Answering cloze-style questions via intra-attention and inter-attention
Weng et al. Mapping unparalleled clinical professional and consumer languages with embedding alignment
Zhang et al. Obstetric Diagnosis Assistant via Knowledge Powered Attention and Information-Enhanced Strategy