Association of hypertension with risk factors using logistic regression
Author:
Publisher
Hikari, Ltd.
Subject
Applied Mathematics
Link
http://www.m-hikari.com/ams/ams-2014/ams-49-52-2014/alengAMS49-52-2014.pdf
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Identifying Foremost Factors Relevant to Blood Pressure Level Using Logistic Regression Analysis: A Case Study (Desert Dwellers Data);Journal of Pure & Applied Sciences;2023-10-19
2. Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: a cross-sectional epidemiological study;BMJ Open;2023-10
3. Stacking-based multi-objective ensemble framework for prediction of hypertension;Expert Systems with Applications;2023-04
4. Métodos estadísticos en la clasificación y riesgos para la hipertensión arterial;TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad;2022-12-28
5. Machine learning classification analysis for a hypertensive population as a function of several risk factors;Expert Systems with Applications;2018-11
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