Coronary artery heart disease prediction: a comparative study of computational intelligence techniques

SI Ayon, MM Islam, MR Hossain - IETE Journal of Research, 2022 - Taylor & Francis
Diseases is an unusual circumstance that affects single or more parts of a human's body.
Because of lifestyle and patrimonial, different kinds of disease are increasing day by day …

Efficient and secure decision tree classification for cloud-assisted online diagnosis services

J Liang, Z Qin, S Xiao, L Ou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Decision tree classification has become a prevailing technique for online diagnosis services.
By outsourcing computation intensive tasks to a cloud server, cloud-assisted online …

Privacy-preserving Naive Bayes classification in semi-fully distributed data model

DH Vu - Computers & Security, 2022 - Elsevier
In recent years, issues of privacy preservation in data mining and machine learning have
received more and more attention from the research community. Privacy-preserving data …

IoT security in healthcare using AI: A survey

SS Gopalan, A Raza… - … , Signal Processing, and …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) and Artificial Intelligence (AI) has led the digital transformation in
modern healthcare. With any kind of digital transformation, security challenges must be …

Adaptive privacy-preserving federated learning

X Liu, H Li, G Xu, R Lu, M He - Peer-to-peer networking and applications, 2020 - Springer
As an emerging training model, federated deep learning has been widely applied in many
fields such as speech recognition, image classification and classification of peer-to-peer …

CINEMA: Efficient and privacy-preserving online medical primary diagnosis with skyline query

J Hua, H Zhu, F Wang, X Liu, R Lu… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Online medical primary diagnosis system, which can provide convenient medical decision
support through applying mobile communication and data analysis technology, has been …

An efficient and practical approach for privacy-preserving Naive Bayes classification

DH Vu, TS Vu, TD Luong - Journal of information Security and Applications, 2022 - Elsevier
Nowadays, the development of machine learning has brought about tremendous benefits.
Nevertheless, the process of building machine learning models can violate sensitive and …

Secure outsourced NB: Accurate and efficient privacy-preserving Naive Bayes classification

X Zhao, Z Xia - Computers & Security, 2023 - Elsevier
As an important network service in the big data era, cloud computing is widely used in
storage and computing outsourcing tasks. The ensuing privacy issues make privacy …

PPDDS: A privacy-preserving disease diagnosis scheme based on the secure Mahalanobis distance evaluation model

M Zhang, Y Zhang, G Shen - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
The development of Big Data and cloud computing has brought great progress to medical
diagnosis and clinical services. However, as disease diagnosis technologies usually use …

[HTML][HTML] A trustworthy healthcare management framework using amalgamation of AI and blockchain network

D Jadav, NK Jadav, R Gupta, S Tanwar, O Alfarraj… - Mathematics, 2023 - mdpi.com
Over the last few decades, the healthcare industry has continuously grown, with hundreds of
thousands of patients obtaining treatment remotely using smart devices. Data security …