Federated learning for smart healthcare: A survey
Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT)
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …
[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
RETRACTED ARTICLE: Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems
Since the last decade, cloud-based electronic health records (EHRs) have gained significant
attention to enable remote patient monitoring. The recent development of Healthcare 4.0 …
attention to enable remote patient monitoring. The recent development of Healthcare 4.0 …
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
Blockchain-based medical records secure storage and medical service framework
Accurate and complete medical data are one valuable asset for patients. Privacy protection
and the secure storage of medical data are crucial issues during medical services. Secure …
and the secure storage of medical data are crucial issues during medical services. Secure …
MeDShare: Trust-less medical data sharing among cloud service providers via blockchain
The dissemination of patients' medical records results in diverse risks to patients' privacy as
malicious activities on these records cause severe damage to the reputation, finances, and …
malicious activities on these records cause severe damage to the reputation, finances, and …
[HTML][HTML] Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
L Huang, AL Shea, H Qian, A Masurkar, H Deng… - Journal of biomedical …, 2019 - Elsevier
Electronic medical records (EMRs) support the development of machine learning algorithms
for predicting disease incidence, patient response to treatment, and other healthcare events …
for predicting disease incidence, patient response to treatment, and other healthcare events …
Security and privacy protection in cloud computing: Discussions and challenges
PJ Sun - Journal of Network and Computer Applications, 2020 - Elsevier
With the development of cloud computing, privacy security issues have become increasingly
prominent, which is of concern to industry and academia. We review the research progress …
prominent, which is of concern to industry and academia. We review the research progress …
A medical records managing and securing blockchain based system supported by a genetic algorithm and discrete wavelet transform
The privacy of patients is jeopardised when medical records and data are spread or shared
beyond the protected cloud of institutions. This is because breaches force them to the brink …
beyond the protected cloud of institutions. This is because breaches force them to the brink …
Emergence of healthcare 4.0 and blockchain into secure cloud-based electronic health records systems: solutions, challenges, and future roadmap
HB Mahajan - Wireless Personal Communications, 2022 - Springer
Since the last decade, cloud-based Electronic Health Records (EHRs) have achieved
important consideration to facilitate remote access of patient medical records. The modern …
important consideration to facilitate remote access of patient medical records. The modern …