[go: up one dir, main page]

Maniar et al., 2022 - Google Patents

Improving clinical efficiency and reducing medical errors through NLP-enabled diagnosis of health conditions from transcription reports

Maniar et al., 2022

View PDF
Document ID
15945695151620781207
Author
Maniar K
Haque S
Ramzan K
Publication year
Publication venue
arXiv preprint arXiv:2206.13516

External Links

Snippet

Misdiagnosis rates are one of the leading causes of medical errors in hospitals, affecting over 12 million adults across the US. To address the high rate of misdiagnosis, this study utilizes 4 NLP-based algorithms to determine the appropriate health condition based on an …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • 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
    • G06F17/2765—Recognition
    • 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
    • G06F19/324—Management of patient independent data, e.g. medical references in digital format
    • 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
    • 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
    • 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
    • G06F19/36—Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
    • 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
    • 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
    • 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

Similar Documents

Publication Publication Date Title
US20230297772A1 (en) Identification of surgery candidates using natural language processing
Park et al. Knowledge graph-based question answering with electronic health records
Li et al. Section classification in clinical notes using supervised hidden markov model
Devarakonda et al. Automated problem list generation from electronic medical records in IBM Watson
Reyes-Ortiz et al. Clinical decision support systems: a survey of NLP-based approaches from unstructured data
CN112541066A (en) Text-structured-based medical and technical report detection method and related equipment
Maniar et al. Improving clinical efficiency and reducing medical errors through NLP-enabled diagnosis of health conditions from transcription reports
Fernandes et al. Classification of the disposition of patients hospitalized with COVID-19: reading discharge summaries using natural language processing
Chen et al. Automatic international classification of diseases coding system: deep contextualized language model with rule-based approaches
Chandra et al. Natural language processing and ontology based decision support system for diabetic patients
Ehrentraut et al. Detection of hospital acquired infections in sparse and noisy Swedish patient records
Liu et al. A review of reinforcement learning for natural language processing and applications in healthcare
Ashfaq et al. Enhancing ECG Report Generation With Domain-Specific Tokenization for Improved Medical NLP Accuracy
Lin et al. Interpretable deep learning system for identifying critical patients through the prediction of triage level, hospitalization, and length of stay: Prospective study
Ming et al. Enhancing the coverage of SemRep using a relation classification approach
Lyu et al. Automatic summarization of doctor-patient encounter dialogues using large language model through prompt tuning
Yang et al. Generating accurate electronic health assessment from medical graph
Nair et al. Automated clinical concept-value pair extraction from discharge summary of pituitary adenoma patients
Grissette Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks
Gérardin et al. Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing
Nikolova et al. Applying language technologies on healthcare patient records for better treatment of Bulgarian diabetic patients
Shi et al. DI++: A deep learning system for patient condition identification in clinical notes
Wunnava et al. One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.
Kamath et al. Intelligent AI assisted psychological disorder analysis using sentiment inference
Morine et al. A comprehensive and holistic health database