Cargando…

Natural language processing for populating lung cancer clinical research data

BACKGROUND: Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics approaches. Since manual extraction from large volumes of text materials is time...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Liwei, Luo, Lei, Wang, Yanshan, Wampfler, Jason, Yang, Ping, Liu, Hongfang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894100/ https://www.ncbi.nlm.nih.gov/pubmed/31801515 http://dx.doi.org/10.1186/s12911-019-0931-8

Ejemplares similares

Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition
por: Shen, Feichen, et al.
Publicado: (2021)

Natural language processing of radiology reports for identification of skeletal site-specific fractures
por: Wang, Yanshan, et al.
Publicado: (2019)

Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review
por: Fu, Sunyang, et al.
Publicado: (2022)

Editorial: The second international workshop on health natural language processing (HealthNLP 2019)
por: Wang, Yanshan, et al.
Publicado: (2019)

Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing
por: Wang, Liwei, et al.
Publicado: (2022)

Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports
por: Fu, Sunyang, et al.
Publicado: (2019)

Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus
por: Li, Yalun, et al.
Publicado: (2020)

Special issue of BMC medical informatics and decision making on health natural language processing
por: Vydiswaran, V. G. Vinod, et al.
Publicado: (2019)

CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines
por: Soysal, Ergin, et al.
Publicado: (2017)

Improving the Efficacy of the Data Entry Process for Clinical Research With a Natural Language Processing–Driven Medical Information Extraction System: Quantitative Field Research
por: Han, Jiang, et al.
Publicado: (2019)

A common type system for clinical natural language processing
por: Wu, Stephen T, et al.
Publicado: (2013)

Natural Language Processing in Scientific Research
por: Manafli, Amina Ariz Qizi
Publicado: (2018)

Natural language processing of clinical notes for identification of critical limb ischemia
por: Afzal, Naveed, et al.
Publicado: (2017)

Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches
por: Shen, Feichen, et al.
Publicado: (2018)

Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation
por: Liu, Sijia, et al.
Publicado: (2020)

Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes
por: Afzal, Naveed, et al.
Publicado: (2017)

Enhancing an enterprise data warehouse for research with data extracted using natural language processing
por: Magoc, Tanja, et al.
Publicado: (2023)

Rare disease knowledge enrichment through a data-driven approach
por: Shen, Feichen, et al.
Publicado: (2019)

Editorial: Methods and applications of natural language processing in psychiatry research
por: Wang, Li, et al.
Publicado: (2022)

A bibliometric analysis of natural language processing in medical research
por: Chen, Xieling, et al.
Publicado: (2018)

Natural Language Processing and Its Use in Orthopaedic Research
por: Wyatt, John M., et al.
Publicado: (2021)

Discovering associations between problem list and practice setting
por: Wang, Liwei, et al.
Publicado: (2019)

Natural Language Processing
por: Kapetanios, Epaminondas, et al.
Publicado: (2013)

Using natural language processing techniques to inform research on nanotechnology
por: Lewinski, Nastassja A, et al.
Publicado: (2015)

Natural language processing for urban research: A systematic review
por: Cai, Meng
Publicado: (2021)

Obtaining structured clinical data from unstructured data using natural language processing software
por: Lacey, Arron S, et al.
Publicado: (2017)

A clinical text classification paradigm using weak supervision and deep representation
por: Wang, Yanshan, et al.
Publicado: (2019)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
por: Liu, Sijia, et al.
Publicado: (2023)

Identifying Abdominal Aortic Aneurysm Cases and Controls using Natural Language Processing of Radiology Reports
por: Sohn, Sunghwan, et al.
Publicado: ( 201)

Data Visualization and Analysis in Second Language Research
por: Sun, Yiou, et al.
Publicado: (2022)

Clinical Natural Language Processing in languages other than English: opportunities and challenges
por: Névéol, Aurélie, et al.
Publicado: (2018)

Applied natural language processing in mental health big data
por: Stewart, Robert, et al.
Publicado: (2020)

Systematic Analysis of Free-Text Family History in Electronic Health Record
por: Wang, Yanshan, et al.
Publicado: (2017)

A review on Natural Language Processing Models for COVID-19 research()
por: Hall, Karl, et al.
Publicado: (2022)

Natural language processing with Java
por: Reese, Richard M
Publicado: (2015)

Natural language processing with Python
por: Bird, Steven
Publicado: (2009)

The Natural Language Processing Workshop
por: Chopra, Rohan
Publicado: (2020)

Practical Natural Language Processing
por: Vajjala, Sowmya
Publicado: (2020)

Natural Language Processing in Action
por: Lane, Hobson
Publicado: (2019)

Natural language processing with Python
por: Bird, Steven, et al.
Publicado: (2009)

Cannot write session to /tmp/vufind_sessions/sess_bip6ito3kkiie9ie04jvo5qdmp