Quantum Machine Learning Revolution in Healthcare: A Systematic Review of Emerging Perspectives and Applications-Reference-Cited by-同舟云学术

Quantum Machine Learning Revolution in Healthcare: A Systematic Review of Emerging Perspectives and Applications

Published:2024 Issue: Volume:12 Page:11423-11450
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ullah Ubaid¹^ORCID,Garcia-Zapirain Begonya¹^ORCID

Affiliation:

1. eVIDA Research Group, University of Deusto, Bilbao, Spain

Funder

European Union’s Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie

eVIDA Research Group, University of Deusto, Bilbao, Spain, through the Basque Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10398184.pdf?arnumber=10398184

Reference133 articles.

1. A Quick Review of Machine Learning Algorithms

2. The potential of quantum computing and machine learning to advance clinical research and change the practice of medicine;Solenov;Missouri Med.,2018

3. Introduction to quantum algorithms

4. Implementation of a quantum search algorithm on a quantum computer

5. Principles of Quantum Computation and Information

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