Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning
Top Cited Papers
Open Access
- 30 January 2018
- journal article
- research article
- Published by JMIR Publications Inc. in Journal of Medical Internet Research
- Vol. 20 (1) , e22
Abstract
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the InternetKeywords
All Related Versions
This publication has 60 references indexed in Scilit:
- A robust model for read count data in exome sequencing experiments and implications for copy number variant callingBioinformatics, 2012
- Depression increases the risk of hypertension incidenceJournal Of Hypertension, 2012
- Predicting the risk of Chronic Kidney Disease in Men and Women in England and Wales: prospective derivation and external validation of the QKidney®ScoresBMC Family Practice, 2010
- Prediction Modeling Using EHR DataMedical Care, 2010
- The Association between Hypertension and Depression and Anxiety Disorders: Results from a Nationally-Representative Sample of South African AdultsPLOS ONE, 2009
- Prediction of Chronic Obstructive Pulmonary Disease (COPD) in Asthma Patients Using Electronic Medical RecordsJournal of the American Medical Informatics Association, 2009
- Depression Is Associated With Decreased Blood Pressure, but Antidepressant Use Increases the Risk for HypertensionHypertension, 2009
- Closing the gap in a generation: health equity through action on the social determinants of healthThe Lancet, 2008
- Understanding social disparities in hypertension prevalence, awareness, treatment, and control: The role of neighborhood contextSocial Science & Medicine, 2007
- The Darwinian concept of stress: benefits of allostasis and costs of allostatic load and the trade-offs in health and diseaseNeuroscience & Biobehavioral Reviews, 2005