Hypertension Detection based on Machine Learning-Reference-Cited by-同舟云学术

Hypertension Detection based on Machine Learning

Published:2019-09-02 Issue: Volume: Page:
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Container-title:Proceedings of the 6th Conference on the Engineering of Computer Based Systems
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Author:

Marin Iuliana¹,Goga Nicolae²

Affiliation:

1. University POLITEHNICA of Bucharest Bucharest, Romania and University Politehnica of Bucharest, Romania

2. Molecular Dynamics Group, University of Groningen, Groningen, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352700.3352723

Reference28 articles.

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2. The classification, diagnosis and management of the hypertensive disorders of pregnancy: a revised statement from the ISSHP;Tranquilli A. L.;Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health,2014

3. Hypertensive Disorders of Pregnancy;Mammaro A.;Journal of Prenatal Medicine,2009

4. C. Visintin M. A. Mugglestone M. Q. Almerie et al. (2010). Management of hypertensive disorders during pregnancy: summary of NICE guidance. British Medical Journal 341. C. Visintin M. A. Mugglestone M. Q. Almerie et al. (2010). Management of hypertensive disorders during pregnancy: summary of NICE guidance. British Medical Journal 341.

5. J. Mayrink M. L. Costa and J. G. Cecatti (2018). Preeclampsia in 2018: Revisiting Concepts Physiopathology and Prediction. The Scientific World Journal. J. Mayrink M. L. Costa and J. G. Cecatti (2018). Preeclampsia in 2018: Revisiting Concepts Physiopathology and Prediction. The Scientific World Journal.

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4. Cyber-Physical Platform for Preeclampsia Detection;Computational Science and Its Applications – ICCSA 2020;2020