Cargando…
Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing
Background Musculoskeletal pain is common in the Veterans Health Administration (VHA), and there is growing national use of chiropractic services within the VHA. Rapid expansion requires scalable and autonomous solutions, such as natural language processing (NLP), to monitor care quality. Previous...
Autores principales: | C. Coleman, Brian, Finch, Dezon, Wang, Rixin, L. Luther, Stephen, Heapy, Alicia, Brandt, Cynthia, J. Lisi, Anthony |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411229/ https://www.ncbi.nlm.nih.gov/pubmed/37164327 http://dx.doi.org/10.1055/a-2091-1162 |
Ejemplares similares
-
Care Outcomes for Chiropractic Outpatient Veterans (COCOV): a single-arm, pragmatic, pilot trial of multimodal chiropractic care for U.S. veterans with chronic low back pain
por: Long, Cynthia R., et al.
Publicado: (2022) -
Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization
por: Coleman, Brian C., et al.
Publicado: (2020) -
Characteristics and productivity of the chiropractic workforce of the Veterans Health Administration
por: Corcoran, Kelsey L., et al.
Publicado: (2022) -
The rate of use of Veterans Affairs chiropractic care: a 5-year analysis
por: Burdick, Ryan, et al.
Publicado: (2022) -
TEMPORARY REMOVAL: Changes in the Use of Telehealth and
Face-To-Face Chiropractic Care in the Department of Veterans Affairs before and
after the COVID-19 Pandemic
por: Roytman, Gregory R, et al.
Publicado: (2021)