Using Machine Learning to Detect Ransomware Attacks on Electronic Health Records (EHRs)
| dc.contributor.advisor | Duffany, Jeffrey | |
| dc.contributor.author | Durán Zamora, Miguel | |
| dc.date.accessioned | 2026-01-20T14:58:24Z | |
| dc.date.issued | 2025 | |
| dc.description | Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico | |
| dc.description.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. | |
| dc.identifier.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 Using Machine Learning to Detect Ransomware Attacks on Electronic Health Records (EHRs) [Unpublished manuscript].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. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12475/3246 | |
| dc.language.iso | en | |
| dc.publisher | Polytechnic University of Puerto Rico | |
| dc.relation.haspart | San Juan | |
| dc.relation.ispartof | Computer Science Program | |
| dc.relation.ispartofseries | Fall-2025 | |
| dc.rights.holder | Polytechnic University of Puerto Rico,Graduate School | |
| dc.rights.license | All rights reserved | |
| dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Research | |
| dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Posters | |
| dc.title | Using Machine Learning to Detect Ransomware Attacks on Electronic Health Records (EHRs) | |
| dc.type | Article | |
| dc.type | Poster |
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