Using Machine Learning to Detect Ransomware Attacks on Electronic Health Records (EHRs)

Date

Publisher

Polytechnic University of Puerto Rico

Item Type

Article
Poster
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Abstract

Ransomware attacks have always been a burden for many industries, and nowadays, with the advancement of technology and computers, they have taken over everything. One crucial industry is the health industry, which has been a victim of these attacks for a while. Could we explore ways to detect and mitigate these attacks in critical areas, such as health? That’s why in this article, we will discuss how we can use machine learning to detect ransomware attacks on electronic health records. Key Terms ⎯ Detect, Electronic Health Records, Machine Learning, Ransomware.

Description

Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico

Keywords

Citation

Durán Zamora, M. (2025). Using Machine Learning to Detect Ransomware Attacks on Electronic Health Records (EHRs) [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.

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