Modelling of the relationship between systolic blood pressure and glucose with the magnesium ion present in the blood plasma: an approach using artificial neural networks

Author:

C. D. Conway Júlio,N. Lavorato Stefania,F. Cunha Vinícius,C. Belchior Jadson

Publisher

Scientific Research Publishing, Inc.

Subject

Microbiology

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. Predicted Blood Pressure using Machine Learning;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. An optimized spectral neural classification model based on multiple kernel fork joining clustering for premature treatment in health care industries;Materials Today: Proceedings;2021-02

3. An Empirical Study on Predicting Blood Pressure Using Classification and Regression Trees;IEEE Access;2018

4. A prediction model of blood pressure for telemedicine;Health Informatics Journal;2016-08-04

5. Bio-medical Application on Predicting Systolic Blood Pressure Using Neural Networks;2015 IEEE First International Conference on Big Data Computing Service and Applications;2015-03

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