Applying Deep Neural Networks over Homomorphic Encrypted Medical Data

In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learning has received considerable attention from the healthcare sector. Despite their ability to provide solutions within personalized medicine, strict regulations on the confidentiality of patient health i...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2020, Vol.2020 (2020), p.1-26
Hauptverfasser:	Suciu, Constantin, Puiu, Andrei, Niƫă, Cosmin Ioan, Vizitiu, Anamaria, Itu, L. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Security - statistics & numerical data Coronary Angiography - statistics & numerical data Databases, Factual - statistics & numerical data Deep Learning Feasibility Studies Hemodynamics Humans Medical Records - statistics & numerical data Models, Cardiovascular Neural Networks, Computer Precision Medicine - statistics & numerical data Privacy
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