What is it about?
With the Analysis of hypertension with artificial neural networks in a sample of people allowed us to diagnose whether they are hypertensive and could be involved in a traffic accident if they are drivers.
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Why is it important?
Our study demonstrates that the application of neural networks for the diagnosis of hypertension is a tool to be used in the inspection of passenger bus drivers and to observe their physiological cardiac behaviour in accident prevention.
Perspectives
Writing this article was a great pleasure, as it has co-authors with whom I have collaborated for a long time. This article also led to me being approached by groups studying other diseases, and ultimately to further involvement in applied research.
Dr. Alejandro Medina Santiago
INAOE
Read the Original
This page is a summary of: Hypertension Diagnosis with Backpropagation Neural Networks for Sustainability in Public Health, Sensors, July 2022, MDPI AG,
DOI: 10.3390/s22145272.
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