Personalized hypertension treatment recommendations by a data-driven model

Background Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a richer set of patient characteristics. Methods Records from 1/1/2012 to 1/1/2020 at...

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Bibliographic Details
Published in:	BMC medical informatics and decision making Vol. 23; no. 1; pp. 44 - 10
Main Authors:	Hu, Yang, Huerta, Jasmine, Cordella, Nicholas, Mishuris, Rebecca G., Paschalidis, Ioannis Ch
Format:	Journal Article
Language:	English
Published:	London BioMed Central 01.03.2023 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Antihypertensives Beta blockers Blood pressure Cardiovascular Diseases Clinical decision support Clinical practice guidelines Cluster Analysis Customization Decision support systems Diuretics Drug therapy Electronic health records Health care facilities Health Informatics Health services Hospitals Humans Hypertension Hypertension prescription Immunization Information Systems and Communication Service Least squares method Machine learning Management of Computing and Information Systems Medical Records Medicine Medicine & Public Health Outliers (statistics) Patients Precision medicine Predictions Prescription drugs Reduction Regression analysis Research Article United States Hypertension prescription Machine learning Clinical decision support
ISSN:	1472-6947, 1472-6947
Online Access:	Get full text
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