Cargando…

Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study

BACKGROUND: Regulatory bodies such as health care inspectorates can identify potential patient safety problems in health care providers by analyzing patient complaints. However, it is challenging to analyze the large number of complaints. Text mining techniques may help identify signals of problems...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hendrickx, Iris, Voets, Tim, van Dyk, Pieter, Kool, Rudolf B
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367101/ https://www.ncbi.nlm.nih.gov/pubmed/34313604 http://dx.doi.org/10.2196/19064

Ejemplares similares

Working with text: tools, techniques and approaches for text mining
por: Tonkin, Emma L, et al.
Publicado: (2016)

Machine Learning Techniques Used for Text Mining
por: Godoy Viera, Ángel Freddy
Publicado: (2017)

Identifying problems and solutions in scientific text
por: Heffernan, Kevin, et al.
Publicado: (2018)

Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records
por: Duz, Marco, et al.
Publicado: (2017)

Mastering text mining with R: master text-taming techniques and build effective text-processing applications with R
por: Kumar, Ashish, et al.
Publicado: (2016)

Classification of broadband network devices using text mining technique
por: Ketcham, Mahasak, et al.
Publicado: (2023)

Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends
por: Jurca, Gabriela, et al.
Publicado: (2016)

514 Using text mining approaches to identify research trends – an exploratory analysis of Miami Clinical and Translational Science Institute publications from 2013-2021
por: Das, Rosalina, et al.
Publicado: (2022)

Quantitative Analysis of Food Safety Policy—Based on Text Mining Methods
por: Song, Cen, et al.
Publicado: (2022)

Facts from Text—Is Text Mining Ready to Deliver?
por: Rebholz-Schuhmann, Dietrich, et al.
Publicado: (2005)

Text mining in practice with R
por: Kwartler, Ted
Publicado: (2017)

Getting Started in Text Mining
por: Cohen, K. Bretonnel, et al.
Publicado: (2008)

Text mining for the biocuration workflow
por: Hirschman, Lynette, et al.
Publicado: (2012)

Practical text mining with Perl
por: Bilisoly, Roger
Publicado: (2008)

Text Mining for Translational Bioinformatics
por: Dai, Hong-Jie, et al.
Publicado: (2015)

Text Mining for Protein Docking
por: Badal, Varsha D., et al.
Publicado: (2015)

Text Mining the History of Medicine
por: Thompson, Paul, et al.
Publicado: (2016)

Text Mining in Organizational Research
por: Kobayashi, Vladimer B., et al.
Publicado: (2017)

Text mining for clinical support
por: Hartmann, Jonathan, et al.
Publicado: (2019)

PGxMine: Text mining for curation of PharmGKB
por: Lever, Jake, et al.
Publicado: (2020)

Online Discourse on Fibromyalgia: Text-Mining to Identify Clinical Distinction and Patient Concerns
por: Park, Jungsik, et al.
Publicado: (2014)

Text mining for identifying topics in the literatures about adolescent substance use and depression
por: Wang, Shi-Heng, et al.
Publicado: (2016)

Identifying the Uncertainty in Physician Practice Location through Spatial Analytics and Text Mining
por: Shi, Xuan, et al.
Publicado: (2016)

A MeSH-based text mining method for identifying novel prebiotics
por: Shan, Guangyu, et al.
Publicado: (2016)

Practice-Based Evidence: Profiling the Safety of Cilostazol by Text-Mining of Clinical Notes
por: Leeper, Nicholas J., et al.
Publicado: (2013)

Identifying risks areas related to medication administrations - text mining analysis using free-text descriptions of incident reports
por: Härkänen, Marja, et al.
Publicado: (2019)

SparkText: Biomedical Text Mining on Big Data Framework
por: Ye, Zhan, et al.
Publicado: (2016)

iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature
por: Ren, Jia, et al.
Publicado: (2018)

Using text mining techniques to extract phenotypic information from the PhenoCHF corpus
por: Alnazzawi, Noha, et al.
Publicado: (2015)

On Building and Evaluating a Medical Records Exploration Interface Using Text Mining Techniques
por: Torres Parejo, Úrsula, et al.
Publicado: (2021)

Identifying trends in nursing start-ups using text mining of YouTube content
por: Lim, Ji Young, et al.
Publicado: (2020)

causalizeR: a text mining algorithm to identify causal relationships in scientific literature
por: Ancin-Murguzur, Francisco J., et al.
Publicado: (2021)

Text mining for identifying the nature of online questions about non-suicidal self-injury
por: Kim, Myo-Sung, et al.
Publicado: (2022)

Drug Discovery in Canine Pyometra Disease Identified by Text Mining and Microarray Data Analysis
por: Wang, Xin, et al.
Publicado: (2023)

Exploratory data mining and data cleaning
por: Dasu, Tamraparni
Publicado: (2003)

Multidimensional mining of massive text data
por: Zhang, Chao, et al.
Publicado: (2019)

Text-mining assisted regulatory annotation
por: Aerts, Stein, et al.
Publicado: (2008)

Biomedical Text Mining and Its Applications
por: Rodriguez-Esteban, Raul
Publicado: (2009)

Knowledge discovery: data and text mining
por: Olmer, Petr
Publicado: (2008)

Benchmarking infrastructure for mutation text mining
por: Klein, Artjom, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_vvijnq2qmlh68ahq5mclm3vqis