Cargando…

Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system

OBJECTIVE: Clinical guidelines recommend annual eye examinations to detect diabetic retinopathy (DR) in patients with diabetes. However, timely DR detection remains a problem in medically underserved and under-resourced settings in the United States. Machine learning that identifies patients with la...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ogunyemi, Omolola I, Gandhi, Meghal, Lee, Martin, Teklehaimanot, Senait, Daskivich, Lauren Patty, Hindman, David, Lopez, Kevin, Taira, Ricky K
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374369/ https://www.ncbi.nlm.nih.gov/pubmed/34423259 http://dx.doi.org/10.1093/jamiaopen/ooab066

Ejemplares similares

Utilization of electronic health records and associated factors among nurses in a faith-based teaching hospital, Ilishan, Nigeria
por: Ayamolowo, Love B, et al.
Publicado: (2023)

ClinicNet: machine learning for personalized clinical order set recommendations
por: Wang, Jonathan X, et al.
Publicado: (2020)

Correlating electronic health record concepts with healthcare process events
por: Hripcsak, George, et al.
Publicado: (2013)

Linkage of Hospital Records and Death Certificates by a Search Engine and Machine Learning
por: Cossin, Sebastien, et al.
Publicado: (2021)

Electronic medical record implementation for a healthcare system caring for homeless people
por: Angoff, Gerald H, et al.
Publicado: (2018)

The Effect of Urban Street Gang Densities on Small Area Homicide Incidence in a Large Metropolitan County, 1994–2002
por: Robinson, Paul L., et al.
Publicado: (2009)

Applying a socioecological framework to chronic disease management: implications for social informatics interventions in safety-net healthcare settings
por: Nguyen, Kim Hanh, et al.
Publicado: (2022)

Using statistical and machine learning to help institutions detect suspicious access to electronic health records
por: Boxwala, Aziz A, et al.
Publicado: (2011)

Bias or biology? Importance of model interpretation in machine learning studies from electronic health records
por: Momenzadeh, Amanda, et al.
Publicado: (2022)

Determining prescriptions in electronic healthcare record data: methods for development of standardized, reproducible drug codelists
por: Graul, Emily L, et al.
Publicado: (2023)

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)

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record
por: Corbin, Conor K, et al.
Publicado: (2023)

Evaluation of the intention to use the electronic medical record (EMR) by health professionals in healthcare facilities of Libreville and Owendo in Gabon
por: Moukoumbi Lipenguet, Gaëtan, et al.
Publicado: (2022)

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record
por: Liu, Siru, et al.
Publicado: (2022)

Leveraging Devices, Data and Discovery for Smarter Healthcare in Japan
por: Sawa, Tomohiro
Publicado: (2011)

Asan Medical Information System for Healthcare Quality Improvement
por: Ryu, Hyeon Jeong, et al.
Publicado: (2010)

Implementation of Consolidated HIS: Improving Quality and Efficiency of Healthcare
por: Choi, Jinwook, et al.
Publicado: (2010)

Do nurses document all discussions of patient problems and nursing interventions in the electronic health record? A pilot study in home healthcare
por: Song, Jiyoun, et al.
Publicado: (2022)

Improved predictions by Pcons.net using multiple templates
por: Larsson, Per, et al.
Publicado: (2011)

Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers
por: Hirten, Robert P, et al.
Publicado: (2022)

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

DyNet: visualization and analysis of dynamic molecular interaction networks
por: Goenawan, Ivan H., et al.
Publicado: (2016)

3538 Asthma and Depression in Children: the Role of Family Structure
por: Shaheen, Magda, et al.
Publicado: (2019)

2501: Depression and mental health service use: Data from National Health and Nutrition Examination Survey (NHANES) 2006–2012
por: Shaheen, Magda, et al.
Publicado: (2018)

PsyGeNET: a knowledge platform on psychiatric disorders and their genes
por: Gutiérrez-Sacristán, Alba, et al.
Publicado: (2015)

CoRegNet: reconstruction and integrated analysis of co-regulatory networks
por: Nicolle, Rémy, et al.
Publicado: (2015)

netReg: network-regularized linear models for biological association studies
por: Dirmeier, Simon, et al.
Publicado: (2018)

DockNet: high-throughput protein–protein interface contact prediction
por: Williams, Nathan P, et al.
Publicado: (2022)

Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems
por: Hatef, Elham, et al.
Publicado: (2022)

SimBoolNet—a Cytoscape plugin for dynamic simulation of signaling networks
por: Zheng, Jie, et al.
Publicado: (2010)

Efficient sequential and parallel algorithms for record linkage
por: Mamun, Abdullah-Al, et al.
Publicado: (2014)

Parameterizing time in electronic health record studies
por: Hripcsak, George, et al.
Publicado: (2015)

Estimating the information gap between emergency department records of community medication compared to on-line access to the community-based pharmacy records
por: Tamblyn, Robyn, et al.
Publicado: (2014)

OrthoNets: simultaneous visual analysis of orthologs and their interaction neighborhoods across different organisms
por: Hao, Yanqi, et al.
Publicado: (2011)

MutaNET: a tool for automated analysis of genomic mutations in gene regulatory networks
por: Hollander, Markus, et al.
Publicado: (2018)

NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
por: Guo, Jing, et al.
Publicado: (2017)

Probabilistic One-Way Sensitivity Analysis with Multiple Comparators: The Conditional Net Benefit Frontier
por: McCabe, Christopher, et al.
Publicado: (2020)

CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks
por: Thiele, Sven, et al.
Publicado: (2021)

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

Electronic health records and support for primary care teamwork
por: O’Malley, Ann S., et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_07u21jjtl3k4d4lu3immomm91h