Cargando…

Application of Electronic Health Record Text Mining: Real-World Tolerability, Safety, and Efficacy of Adjuvant Melanoma Treatments

SIMPLE SUMMARY: Recently, nivolumab, pembrolizumab, both immune-checkpoint inhibitors (ICIs) and the combination of dabrafenib plus trametinib (D + T) were registered as adjuvant melanoma treatments, to prevent recurrence. The aim of this paper was to retrospectively review the benefits and risks of...

Descripción completa

Detalles Bibliográficos
Autores principales:	van Laar, Sylvia A., Kapiteijn, Ellen, Gombert-Handoko, Kim B., Guchelaar, Henk-Jan, Zwaveling, Juliette
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657798/ https://www.ncbi.nlm.nih.gov/pubmed/36358844 http://dx.doi.org/10.3390/cancers14215426

Ejemplares similares

An Electronic Health Record Text Mining Tool to Collect Real‐World Drug Treatment Outcomes: A Validation Study in Patients With Metastatic Renal Cell Carcinoma
por: van Laar, Sylvia A., et al.
Publicado: (2020)

Real-world evaluation of supportive care using an electronic health record text-mining tool: G-CSF use in breast cancer patients
por: van Laar, Sylvia A., et al.
Publicado: (2022)

Liver and kidney function in patients with Covid‐19 treated with remdesivir
por: van Laar, Sylvia A., et al.
Publicado: (2021)

Real-World Metastatic Renal Cell Carcinoma Treatment Patterns and Clinical Outcomes in The Netherlands
por: van Laar, S.A., et al.
Publicado: (2022)

Treosulfan-induced myalgia in pediatric hematopoietic stem cell transplantation identified by an electronic health record text mining tool
por: van der Stoep, M. Y. Eileen C., et al.
Publicado: (2021)

A text-mining approach to study the real-world effectiveness and potentially fatal immune-related adverse events of PD-1 and PD-L1 inhibitors in older patients with stage III/IV non-small cell lung cancer
por: Abedian Kalkhoran, Hanieh, et al.
Publicado: (2023)

Empirical advances with text mining of electronic health records
por: Delespierre, T., et al.
Publicado: (2017)

Text Mining of Electronic Health Records Can Accurately Identify and Characterize Patients With Systemic Lupus Erythematosus
por: Brunekreef, Tammo E., et al.
Publicado: (2021)

Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records
por: Lix, Lisa, et al.
Publicado: (2017)

Using a Text Mining Approach to Explore the Recording Quality of a Nursing Record System
por: CHANG, Hsiu-Mei, et al.
Publicado: (2019)

Pharmacist-Initiated Pre-Emptive Pharmacogenetic Panel Testing with Clinical Decision Support in Primary Care: Record of PGx Results and Real-World Impact
por: van der Wouden, Cathelijne H., et al.
Publicado: (2019)

Integrating Text Mining into the Curation of Disease Maps
por: Voskamp, Malte, et al.
Publicado: (2022)

Interactive process mining of cancer treatment sequences with melanoma real-world data
por: Wicky, Alexandre, et al.
Publicado: (2023)

Data Processing and Text Mining Technologies on Electronic Medical Records: A Review
por: Sun, Wencheng, et al.
Publicado: (2018)

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study
por: Karystianis, George, et al.
Publicado: (2020)

Food packaging permeability and composition dataset dedicated to text-mining()
por: Lentschat, Martin, et al.
Publicado: (2021)

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

Cohort Selection for Clinical Trials From Longitudinal Patient Records: Text Mining Approach
por: Spasic, Irena, et al.
Publicado: (2019)

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

Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records
por: Karystianis, George, et al.
Publicado: (2022)

Mining Text Patterns over Fake and Real Tweets
por: Diaz-Garcia, Jose A., et al.
Publicado: (2020)

Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies
por: Cohen, Raphael, et al.
Publicado: (2013)

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

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

Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis
por: Huang, Hsien-Liang, et al.
Publicado: (2020)

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)

Real‐World nivolumab dosing patterns and safety outcomes in patients receiving adjuvant therapy for melanoma
por: Samlowski, Wolfram, et al.
Publicado: (2022)

Clinical Phenotypic Spectrum of 4095 Individuals with Down Syndrome from Text Mining of Electronic Health Records
por: Havrilla, James Margolin, et al.
Publicado: (2021)

A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
por: Ahmad, Pir Noman, et al.
Publicado: (2023)

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)

Cannot write session to /tmp/vufind_sessions/sess_inr34ddui67dbohil7gakdgq51