Cargando…

Using rule-based natural language processing to improve disease normalization in biomedical text

BACKGROUND AND OBJECTIVE: In order for computers to extract useful information from unstructured text, a concept normalization system is needed to link relevant concepts in a text to sources that contain further information about the concept. Popular concept normalization tools in the biomedical fie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kang, Ning, Singh, Bharat, Afzal, Zubair, van Mulligen, Erik M, Kors, Jan A
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2013
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3756254/ https://www.ncbi.nlm.nih.gov/pubmed/23043124 http://dx.doi.org/10.1136/amiajnl-2012-001173

Ejemplares similares

Knowledge-based extraction of adverse drug events from biomedical text
por: Kang, Ning, et al.
Publicado: (2014)

The added value of text from Dutch general practitioner notes in predictive modeling
por: Seinen, Tom M, et al.
Publicado: (2023)

Gilda: biomedical entity text normalization with machine-learned disambiguation as a service
por: Gyori, Benjamin M, et al.
Publicado: (2022)

BioVAE: a pre-trained latent variable language model for biomedical text mining
por: Trieu, Hai-Long, et al.
Publicado: (2021)

Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text
por: Heintzelman, Norris H, et al.
Publicado: (2013)

Training text chunkers on a silver standard corpus: can silver replace gold?
por: Kang, Ning, et al.
Publicado: (2012)

Improving the CONTES method for normalizing biomedical text entities with concepts from an ontology with (almost) no training data
por: Ferré, Arnaud, et al.
Publicado: (2019)

SimText: a text mining framework for interactive analysis and visualization of similarities among biomedical entities
por: Macnee, Marie, et al.
Publicado: (2021)

A rule based solution to co-reference resolution in clinical text
por: Chen, Ping, et al.
Publicado: (2013)

FACTA: a text search engine for finding associated biomedical concepts
por: Tsuruoka, Yoshimasa, et al.
Publicado: (2008)

Application of natural language processing to identify social needs from patient medical notes: development and assessment of a scalable, performant, and rule-based model in an integrated healthcare delivery system
por: Gray, Geoffrey M, et al.
Publicado: (2023)

BERN2: an advanced neural biomedical named entity recognition and normalization tool
por: Sung, Mujeen, et al.
Publicado: (2022)

LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts
por: Sarker, Abeed
Publicado: (2020)

Natural language processing for abstraction of cancer treatment toxicities: accuracy versus human experts
por: Hong, Julian C, et al.
Publicado: (2020)

Natural language processing systems for pathology parsing in limited data environments with uncertainty estimation
por: Odisho, Anobel Y, et al.
Publicado: (2020)

Natural language processing for automated annotation of medication mentions in primary care visit conversations
por: Ganoe, Craig H, et al.
Publicado: (2021)

Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm
por: Strauss, Justin A, et al.
Publicado: (2013)

Criteria2Query: a natural language interface to clinical databases for cohort definition
por: Yuan, Chi, et al.
Publicado: (2019)

Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment
por: Banerjee, Imon, et al.
Publicado: (2019)

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
por: Tsui, Fuchiang R, et al.
Publicado: (2021)

Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites
por: Digan, William, et al.
Publicado: (2020)

Extraction of clinical phenotypes for Alzheimer’s disease dementia from clinical notes using natural language processing
por: Oh, Inez Y, et al.
Publicado: (2023)

Natural language processing-driven state machines to extract social factors from unstructured clinical documentation
por: Allen, Katie S, et al.
Publicado: (2023)

Natural Language Processing in Diagnostic Texts from Nephropathology
por: Legnar, Maximilian, et al.
Publicado: (2022)

GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction
por: Oh, So-Yeon, et al.
Publicado: (2018)

A transformation-based method for auditing the IS-A hierarchy of biomedical terminologies in the Unified Medical Language System
por: Zheng, Fengbo, et al.
Publicado: (2020)

Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing
por: Xie, Kevin, et al.
Publicado: (2022)

Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions
por: Chapman, Alec B, et al.
Publicado: (2022)

Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transfer
por: Lee, Timothy, et al.
Publicado: (2023)

Text Detective: a rule-based system for gene annotation in biomedical texts
por: Tamames, Javier
Publicado: (2005)

A Year of Papers Using Biomedical Texts: Findings from the Section on Natural Language Processing of the IMIA Yearbook
por: Grabar, Natalia, et al.
Publicado: (2019)

Application of natural language processing techniques to identify off-label drug usage from various online health communities
por: Dreyfus, Brian, et al.
Publicado: (2021)

Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets
por: Ye, Jiancheng, et al.
Publicado: (2023)

Rewriting and suppressing UMLS terms for improved biomedical term identification
por: Hettne, Kristina M, et al.
Publicado: (2010)

A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
por: Kors, Jan A, et al.
Publicado: (2015)

Clinical decision support with automated text processing for cervical cancer screening
por: Wagholikar, Kavishwar B, et al.
Publicado: (2012)

Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes
por: Guan, Meijian, et al.
Publicado: (2019)

Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data
por: Ling, Albee Y, et al.
Publicado: (2019)

Enabling qualitative research data sharing using a natural language processing pipeline for deidentification: moving beyond HIPAA Safe Harbor identifiers
por: Gupta, Aditi, et al.
Publicado: (2021)

Extraction of chemical-induced diseases using prior knowledge and textual information
por: Pons, Ewoud, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_km0aje6mt0b5ae50kkvind5g8b