학술논문

Evaluation of Risk Factors Associated With Antihypertensive Treatment Success Employing Data Mining Techniques.
Document Type
Article
Source
Journal of Cardiovascular Pharmacology & Therapeutics; 2022, Vol. 27, p1-11, 11p
Subject
DATA mining
RANDOM forest algorithms
MULTIPLE regression analysis
BLOOD urea nitrogen
CALCIUM antagonists
Language
ISSN
10742484
Abstract
Copyright of Journal of Cardiovascular Pharmacology & Therapeutics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)