Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine Unlearning in Digitalized Healthcare Arena A Comprehensive Exploration
2
Zitationen
1
Autoren
2024
Jahr
Abstract
Machine unlearning represents a novel advancement in Artificial Intelligence, yet there is a noticeable scarcity of literature exploring and justifying its application in digital healthcare. This analytical paper serves as an introduction to machine unlearning, examining its capabilities and potential applications in the healthcare sector. By discussing machine unlearning from psychological and philosophical perspectives, I aim to provide a comprehensive understanding of its relevance and necessity. Also, this paper provides an introductory overview of key algorithms of machine unlearning and their potential applications in healthcare. As healthcare adapts to digital technologies, it is discussed that understanding and utilizing machine unlearning techniques will be crucial for maintaining effective and responsive healthcare systems.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.156 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.543 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.051 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.416 Zit.
Analysis of Survival Data.
1985 · 4.379 Zit.