Cargando…

Extraction of clinical phenotypes for Alzheimer’s disease dementia from clinical notes using natural language processing

OBJECTIVES: There is much interest in utilizing clinical data for developing prediction models for Alzheimer’s disease (AD) risk, progression, and outcomes. Existing studies have mostly utilized curated research registries, image analysis, and structured electronic health record (EHR) data. However,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Oh, Inez Y, Schindler, Suzanne E, Ghoshal, Nupur, Lai, Albert M, Payne, Philip R O, Gupta, Aditi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2023
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952043/ https://www.ncbi.nlm.nih.gov/pubmed/36844369 http://dx.doi.org/10.1093/jamiaopen/ooad014

Ejemplares similares

Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
por: Kumar, Sayantan, et al.
Publicado: (2021)

Association Between Socioeconomic Factors, Race, and Use of a Specialty Memory Clinic
por: Lewis, Abigail, et al.
Publicado: (2023)

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)

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

Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis
por: Wu, Stephen T, et al.
Publicado: (2012)

Using natural language processing to identify the status of homelessness and housing instability among serious illness patients from clinical notes in an integrated healthcare system
por: Xie, Fagen, et al.
Publicado: (2023)

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

ATRI EDC: a novel cloud-native remote data capture system for large multicenter Alzheimer’s disease and Alzheimer’s disease-related dementias clinical trails
por: Jimenez-Maggiora, Gustavo A, et al.
Publicado: (2022)

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

QNOTE: an instrument for measuring the quality of EHR clinical notes
por: Burke, Harry B, et al.
Publicado: (2014)

Electronic health records improve clinical note quality
por: Burke, Harry B, et al.
Publicado: (2015)

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

Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: a case study for dementia, mild cognitive impairment, and Alzheimer’s and Parkinson’s diseases
por: Banda, Juan M, et al.
Publicado: (2023)

Computer use, language, and literacy in safety net clinic communication
por: Ratanawongsa, Neda, et al.
Publicado: (2017)

Generalization of finetuned transformer language models to new clinical contexts
por: Xie, Kevin, et al.
Publicado: (2023)

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 word embeddings to improve the privacy of clinical notes
por: Abdalla, Mohamed, et al.
Publicado: (2020)

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 impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements
por: Lingren, Todd, et al.
Publicado: (2014)

Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction
por: Payne, Thomas H, et al.
Publicado: (2018)

Using word embeddings to expand terminology of dietary supplements on clinical notes
por: Fan, Yadan, et al.
Publicado: (2019)

Critical assessment of transformer-based AI models for German clinical notes
por: Lentzen, Manuel, et al.
Publicado: (2022)

A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction
por: Li, Qi, et al.
Publicado: (2013)

A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study
por: Hussain, Syed-Amad, et al.
Publicado: (2021)

Multiparametric computer-aided differential diagnosis of Alzheimer’s disease and frontotemporal dementia using structural and advanced MRI
por: Bron, Esther E., et al.
Publicado: (2016)

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)

Sleep apnea phenotyping and relationship to disease in a large clinical biobank
por: Cade, Brian E, et al.
Publicado: (2022)

Spot the difference: comparing results of analyses from real patient data and synthetic derivatives
por: Foraker, Randi E, et al.
Publicado: (2020)

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)

CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records
por: Zhou, Sicheng, et al.
Publicado: (2022)

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research*
por: Wu, Honghan, et al.
Publicado: (2018)

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study
por: Huang, Kexin, et al.
Publicado: (2021)

INDRA-IPM: interactive pathway modeling using natural language with automated assembly
por: Todorov, Petar V, et al.
Publicado: (2019)

Using rule-based natural language processing to improve disease normalization in biomedical text
por: Kang, Ning, et al.
Publicado: (2013)

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)

HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
por: Leung, Alvin, et al.
Publicado: (2014)

A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems
por: Denaxas, Spiros, et al.
Publicado: (2020)

PhenClust, a standalone tool for identifying trends within sets of biological phenotypes using semantic similarity and the Unified Medical Language System metathesaurus
por: Wilson, Jennifer L, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_a8g7ngc2css1pq379t5buutgf5