Cargando…

Model-Based Reasoning of Clinical Diagnosis in Integrative Medicine: Real-World Methodological Study of Electronic Medical Records and Natural Language Processing Methods

BACKGROUND: Integrative medicine is a form of medicine that combines practices and treatments from alternative medicine with conventional medicine. The diagnosis in integrative medicine involves the clinical diagnosis based on modern medicine and syndrome pattern diagnosis. Electronic medical record...

Descripción completa

Detalles Bibliográficos
Autores principales:	Geng, Wenye, Qin, Xuanfeng, Yang, Tao, Cong, Zhilei, Wang, Zhuo, Kong, Qing, Tang, Zihui, Jiang, Lin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781803/ https://www.ncbi.nlm.nih.gov/pubmed/33346740 http://dx.doi.org/10.2196/23082

Ejemplares similares

Natural language generation for electronic health records
por: Lee, Scott H.
Publicado: (2018)

Practical reasoning in natural language /
por: Thomas, Stephen N., 1942-
Publicado: (1986)

Clinical characteristics of lurasidone-treated patients in Spain using Natural Language Processing – A real-world data study with Electronic Health Records
por: De La Pinta, C., et al.
Publicado: (2022)

Integrating functional data analysis with case-based reasoning for hypertension prognosis and diagnosis based on real-world electronic health records
por: Qi, Ping, et al.
Publicado: (2022)

NeuroBlu: a natural language processing (NLP) electronic health record (EHR) data analytic tool to generate real-world evidence in mental healthcare
por: Patel, R., et al.
Publicado: (2022)

Natural Language Metaphors Covertly Influence Reasoning
por: Thibodeau, Paul H., et al.
Publicado: (2013)

From real-world electronic health record data to real-world results using artificial intelligence
por: Knevel, Rachel, et al.
Publicado: (2023)

Detecting inpatient falls by using natural language processing of electronic medical records
por: Toyabe, Shin-ichi
Publicado: (2012)

Adaptive reasoning for real-world problems : a schema-based approach /
por: Turner, Roy M.
Publicado: (1994)

Development of phenotype algorithms using electronic medical records and incorporating natural language processing
por: Liao, Katherine P, et al.
Publicado: (2015)

Efficient Queries of Stand-off Annotations for Natural Language Processing on Electronic Medical Records
por: Luo, Yuan, et al.
Publicado: (2016)

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records
por: Thompson, Jeffrey, et al.
Publicado: (2019)

Early recognition of multiple sclerosis using natural language processing of the electronic health record
por: Chase, Herbert S., et al.
Publicado: (2017)

Identifying perinatal self-harm in electronic healthcare records using natural language processing
por: Ayre, Karyn, et al.
Publicado: (2021)

Cohort design and natural language processing to reduce bias in electronic health records research
por: Khurshid, Shaan, et al.
Publicado: (2022)

Applying natural language processing to electronic medical records for estimating healthy life expectancy
por: Weegar, Rebecka
Publicado: (2021)

Classifying Firearm Injury Intent in Electronic Hospital Records Using Natural Language Processing
por: MacPhaul, Erin, et al.
Publicado: (2023)

Real-World Management of Hyperkalemia in the Emergency Department: An Electronic Medical Record Analysis
por: Davis, Jill, et al.
Publicado: (2021)

Identification of delirium from real-world electronic health record clinical notes
por: St. Sauver, Jennifer, et al.
Publicado: (2023)

Examination of Stigmatizing Language in the Electronic Health Record
por: Himmelstein, Gracie, et al.
Publicado: (2022)

Intelligent virtual case learning system based on real medical records and natural language processing
por: Wang, Mengying, et al.
Publicado: (2022)

A Real-World Evidence Study for Distribution of Traditional Chinese Medicine Syndrome and Its Elements on Respiratory Disease
por: Xu, Fei, et al.
Publicado: (2018)

Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
por: Rybinski, Maciej, et al.
Publicado: (2021)

Development of a natural language processing algorithm to detect chronic cough in electronic health records
por: Bali, Vishal, et al.
Publicado: (2022)

Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records
por: Ashburner, Jeffrey M., et al.
Publicado: (2022)

Using Natural Language Processing and Machine Learning to Identify Opioids in Electronic Health Record Data
por: McDermott, Sean P, et al.
Publicado: (2023)

Health Natural Language Processing: Methodology Development and Applications
por: Hao, Tianyong, et al.
Publicado: (2021)

Natural language processing to identify reasons for sex disparity in statin prescriptions
por: Witting, Celeste, et al.
Publicado: (2023)

Real-world utilization patterns and outcomes of colesevelam hcl in the ge electronic medical record
por: Hansen, Richard A, et al.
Publicado: (2013)

Real-World Evidence of COVID-19 Patients’ Data Quality in the Electronic Health Records
por: Binkheder, Samar, et al.
Publicado: (2021)

A large language model for electronic health records
por: Yang, Xi, et al.
Publicado: (2022)

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
por: Tsui, Fuchiang R, et al.
Publicado: (2021)

Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records
por: Ayre, Karyn, et al.
Publicado: (2021)

Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods
por: Lee, Dong Yun, et al.
Publicado: (2022)

Correction: Extracting Family History Information From Electronic Health Records: Natural Language Processing Analysis
por: Rybinski, Maciej, et al.
Publicado: (2021)

Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records
por: Zhao, Mengge, et al.
Publicado: (2022)

Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing
por: Wang, Sophia Y., et al.
Publicado: (2022)

Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing
por: Pan, Jie, et al.
Publicado: (2023)

Deliberate reasoning is not affected by language
por: Jensen Mækelæ, Martin, et al.
Publicado: (2019)

Real-world integration of genomic data into the electronic health record: the PennChart Genomics Initiative
por: Lau-Min, Kelsey S., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ociptmvf9olrpvasglbi7eflrg