Cargando…

Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment

OBJECTIVE: Electronic health record (EHR) data linked with address-based metrics using geographic information systems (GIS) are emerging data sources in population health studies. This study examined this approach through a case study on the associations between changes in ejection fraction (EF) and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Yiye, Tayarani, Mohammad, Al’Aref, Subhi J, Beecy, Ashley N, Liu, Yifan, Sholle, Evan, RoyChoudhury, Arindam, Axsom, Kelly M, Gao, Huaizhu Oliver, Pathak, Jyotishman, Ancker, Jessica S
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660965/ https://www.ncbi.nlm.nih.gov/pubmed/33215073 http://dx.doi.org/10.1093/jamiaopen/ooaa038

Ejemplares similares

Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
por: Zhang, Yiye, et al.
Publicado: (2021)

An architecture for research computing in health to support clinical and translational investigators with electronic patient data
por: Campion, Thomas R, et al.
Publicado: (2021)

Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups
por: Huang, Yufang, et al.
Publicado: (2021)

Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure
por: Beecy, Ashley N., et al.
Publicado: (2020)

Assessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death
por: Zhang, Yongkang, et al.
Publicado: (2020)

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language
por: Brandt, Pascal S., et al.
Publicado: (2020)

Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records
por: Cusick, Marika, et al.
Publicado: (2022)

Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings
por: Deferio, Joseph J, et al.
Publicado: (2018)

Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors
por: Alaie, Seyedhamidreza, et al.
Publicado: (2023)

Organizational characteristics and perceptions of clinical event notification services in healthcare settings: a study of health information exchange
por: Wiley, Kevin K, et al.
Publicado: (2020)

Understanding the research landscape of major depressive disorder via literature mining: an entity-level analysis of PubMed data from 1948 to 2017
por: Zhu, Yongjun, et al.
Publicado: (2018)

Estimation of postpartum depression risk from electronic health records using machine learning
por: Amit, Guy, et al.
Publicado: (2021)

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease
por: Gautam, Nitesh, et al.
Publicado: (2022)

The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variants
por: Aref, Layla, et al.
Publicado: (2022)

Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression
por: Patra, Braja Gopal, et al.
Publicado: (2023)

Desiderata for computable representations of electronic health records-driven phenotype algorithms
por: Mo, Huan, et al.
Publicado: (2015)

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing
por: Pandey, Mohit, et al.
Publicado: (2020)

Evaluation of Atherosclerotic Plaque in Non-invasive Coronary Imaging
por: Dwivedi, Aeshita, et al.
Publicado: (2018)

Coronary-Cameral Fistula, Thebesian Veins, and Anomalous Coronary Vein on Cardiac Computed Tomography
por: Xu, Jack, et al.
Publicado: (2021)

Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach
por: Ghanta, Sai Nikhila, et al.
Publicado: (2023)

Severely Calcified Pericardium Causing Constrictive Pericarditis
por: Kaur, Jagdeep, et al.
Publicado: (2023)

Built by epidemiologists for epidemiologists: an internal COVID-19 dashboard for real-time situational awareness in New York City
por: Ngai, Stephanie, et al.
Publicado: (2022)

A Late Presentation of COVID-19 Vaccine-Induced Myocarditis
por: Gautam, Nitesh, et al.
Publicado: (2021)

Approximate Likelihood Estimation of Divergence Time Range Using a Coalescent-based Model
por: RoyChoudhury, Arindam
Publicado: (2013)

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study
por: Adekkanattu, Prakash, et al.
Publicado: (2023)

eHealth in Queensland: Progressing towards a Patient Centric, Networked Model of Care
por: Shepherd, Tam, et al.
Publicado: (2011)

Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation
por: Singh, Gurpreet, et al.
Publicado: (2020)

A dataset on body composition, strength and performance in older adults
por: RoyChoudhury, Arindam, et al.
Publicado: (2020)

EDTox: an R Shiny application to predict the endocrine disruption potential of compounds
por: Sakhteman, Amirhossein, et al.
Publicado: (2022)

C2Analyzer: Co-target–Co-function Analyzer
por: Aftabuddin, Md., et al.
Publicado: (2014)

Hidden health IT hazards: a qualitative analysis of clinically meaningful documentation discrepancies at transfer out of the pediatric intensive care unit
por: Orenstein, Evan W, et al.
Publicado: (2019)

Query Health: standards-based, cross-platform population health surveillance
por: Klann, Jeffrey G, et al.
Publicado: (2014)

Working with Patients and Members of the Public: Informing Health Economics in Child Health Research
por: Kandiyali, Rebecca, et al.
Publicado: (2018)

Biomedical REAl-Time Health Evaluation (BREATHE): toward an mHealth informatics platform
por: Bui, Alex A T, et al.
Publicado: (2020)

Use of patient-generated health data across healthcare settings: implications for health systems
por: Austin, Elizabeth, et al.
Publicado: (2019)

National Conference on Sustainable Built Environment 2015
por: Seta, Fumihiko, et al.
Publicado: (2017)

Determinants of In‐Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach
por: Al'Aref, Subhi J., et al.
Publicado: (2019)

Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange
por: Downing, N Lance, et al.
Publicado: (2017)

Rapid response to COVID-19: health informatics support for outbreak management in an academic health system
por: Reeves, J Jeffery, et al.
Publicado: (2020)

Putting Stakeholder Engagement at the Center of Health Economic Modeling for Health Technology Assessment in the United States
por: Xie, Richard Z., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_q1sqh9iocls7550gr8gc8kqq2n