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Big Data Topsis by Nlbras Zayer is a document available to read on EtoBox.

This article presents a novel methodology for triaging and prioritizing patients with chronic heart diseases using big data in a telemedicine context. The study evaluates 500 patients based on vital signs collected through various sensors, aiming to improve decision-making in emergency situations. The results indicate that the proposed method effectively prioritizes patients based on urgency, enhancing the efficiency of healthcare delivery in remote settings.

Author
Nlbras Zayer
Language
EN