Cargando…

Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records

Diabetic retinopathy (DR) is a leading cause for blindness among working-aged adults. The growing prevalence of diabetes urges for cost-effective tools to improve the compliance of eye examinations for early detection of DR. The objective of this research is to identify essential predictors and deve...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Ru, Miao, Zhuqi, Liu, Tieming, Liu, Mei, Grdinovac, Kristine, Song, Xing, Liang, Ye, Delen, Dursun, Paiva, William
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038185/ https://www.ncbi.nlm.nih.gov/pubmed/33918304 http://dx.doi.org/10.3390/jcm10071473

Ejemplares similares

Prescriptive analytics: the final frontier for evidence-based management and optimal decision making
por: Delen, Dursun
Publicado: (2019)

Real-world data mining : applied business analytics and decision making
por: Delen, Dursun
Publicado: (2014)

Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners
por: Delen, Dursun
Publicado: (2020)

Validation of an electronic frailty index with electronic health records: eFRAGICAP index
por: Orfila, Francesc, et al.
Publicado: (2022)

Towards the Development of a Substance Abuse Index (SEI) through Informatics
por: Guttha, Nikhila, et al.
Publicado: (2021)

No Place Like Home: Cross-National Data Analysis of the Efficacy of Social Distancing During the COVID-19 Pandemic
por: Delen, Dursun, et al.
Publicado: (2020)

A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases
por: Topuz, Kazim, et al.
Publicado: (2023)

Machine Learning to Compare Frequent Medical Problems of African American and Caucasian Diabetic Kidney Patients
por: Kim, Yong-Mi, et al.
Publicado: (2017)

An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions
por: Davazdahemami, Behrooz, et al.
Publicado: (2022)

An explanatory analytics framework for early detection of chronic risk factors in pandemics
por: Davazdahemami, Behrooz, et al.
Publicado: (2022)

Predicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning Framework
por: Delen, Dursun, et al.
Publicado: (2023)

Bias in Recording of Body Mass Index Data in the Electronic Health Record
por: Rea, Susan, et al.
Publicado: ( 201)

Adherence to Guideline Recommendations in Patients with Thyroid Nodules
por: Karnchanasorn, Rudruidee, et al.
Publicado: (2017)

A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19
por: Eryarsoy, Enes, et al.
Publicado: (2021)

Development and validation of an electronic frailty index using routine primary care electronic health record data
por: Clegg, Andrew, et al.
Publicado: (2016)

Development and validation of an electronic frailty index using routine primary care electronic health record data
por: Clegg, Andrew, et al.
Publicado: (2018)

The futility of genomic counseling: essential role of electronic health records
por: Belmont, John, et al.
Publicado: (2009)

Interpretable modeling and discovery of key predictors for pneumonia diagnosis in children based on electronic medical records
por: Li, Jing, et al.
Publicado: (2022)

Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
por: Gupta, Akash, et al.
Publicado: (2018)

Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
por: Gupta, Akash, et al.
Publicado: (2018)

Predictors of length of stay in psychiatry: analyses of electronic medical records
por: Wolff, Jan, et al.
Publicado: (2015)

Fatty Acid-Binding Protein 4 in Patients with and without Diabetic Retinopathy
por: Huang, Ping, et al.
Publicado: (2022)

Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement
por: Sultana, Ineen, et al.
Publicado: (2019)

Patients with type 2 diabetes and elevated fibrosis‐4 are under‐referred to hepatology and have unrecognized hepatic decompensation
por: Dunn, Winston, et al.
Publicado: (2022)

How to validate a diagnosis recorded in electronic health records
por: Nissen, Francis, et al.
Publicado: (2019)

Pro-Inflammatory diet accounts for higher prevalence of retinopathy in diabetes participants rather than normal glucose and prediabetes: Results from NHANES, 2005–2008
por: Pan, Wenjun, et al.
Publicado: (2023)

An analytical approach to evaluate the impact of age demographics in a pandemic
por: Abdulrashid, Ismail, et al.
Publicado: (2023)

Searching in the Dark: Phenotyping Diabetic Retinopathy in a De-Identified Electronic Medical Record Sample of African Americans
por: Restrepo, Nicole A., et al.
Publicado: (2016)

Development and Validation of an Electronic Frailty Index Using Routine Electronic Health Records: An Observational Study From a General Hospital in China
por: Liang, Yao-Dan, et al.
Publicado: (2021)

Transient Central Diabetes Insipidus Occurring After Vasopressin Infusion
por: Cristiano, Elizabeth A., et al.
Publicado: (2021)

Validation of asthma recording in electronic health records: a systematic review
por: Nissen, Francis, et al.
Publicado: (2017)

Electronic cigarette use is negatively associated with body mass index: An observational study of electronic medical records
por: Alqahtani, Mohammed M., et al.
Publicado: (2020)

The Feasibility of Deriving the Electronic Frailty Index from Australian General Practice Records
por: Lewis, Ebony T, et al.
Publicado: (2022)

Electronic health records: essential tools in integrating substance abuse treatment with primary care
por: Tai, Betty, et al.
Publicado: (2012)

Construction and Validation of Synthetic Electronic Medical Records
por: Moniz, Linda, et al.
Publicado: (2009)

Inferring multimodal latent topics from electronic health records
por: Li, Yue, et al.
Publicado: (2020)

Validation of asthma recording in electronic health records: protocol for a systematic review
por: Nissen, Francis, et al.
Publicado: (2017)

Predictors of hospital readmission for patients diagnosed with delirium: An electronic health record data analysis
por: Friedrich, Michaela‐Elena, et al.
Publicado: (2022)

Zinc and Diabetic Retinopathy
por: Miao, Xiao, et al.
Publicado: (2013)

Area Deprivation Index and Cardiac Readmissions: Evaluating Risk‐Prediction in an Electronic Health Record
por: Johnson, Amber E., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_861arfntm3vj3fltt4vjj40tul