Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework-Reference-Cited by-同舟云学术

Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework

Published:2021-12 Issue: Volume:122 Page:102200
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Levy-Loboda Tamar,Rav-Acha Moshe,Katz Amos,Nissim Nir

Funder

Ministry of Science and Technology, Taiwan

Ministry of Science and Technology, Israel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

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4. Security and privacy issues in implantable medical devices: a comprehensive survey;Camara;J Biomed Inform,2015

5. Cybersecurity and medical devices: a practical guide for cardiac electrophysiologists;Ransford;PACE - Pacing Clin Electrophysiol,2017

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2. Patient informed consent, ethical and legal considerations in the context of digital vulnerability with smart, cardiac implantable electronic devices;PLOS Digital Health;2024-05-23

3. Unmasking the Dominant Threat of Data Manipulation Attack on Implantable Cardioverter Defibrillators;2023 20th Annual International Conference on Privacy, Security and Trust (PST);2023-08-21

4. A Systematic Literature Review On Missing Values: Research Trends, Datasets, Methods and Frameworks;E3S Web of Conferences;2023