Nov 20, 2018 · Abstract: Big data mining-driven disease risk prediction has become one of the important topics in the field of e-healthcare.

E-healthcare includes many research fields, among which the extensive one is disease risk prediction as it can help to predict the disease risk and improve the ...

Jul 26, 2022 · This paper proposes an efficient privacy-preserving (PP) scheme for patient healthcare data collected from IoT devices aimed at disease prediction

An Efficient and Privacy-Preserving Disease Risk Prediction Scheme for E-Healthcare ; amount of data in the healthcare. The previous medical. researches based on ...

An efficient privacy-preserving disease prediction scheme (PPDP) is proposed. •. PPDP can train prediction models without leaking the privacy of sensitive data.

This paper designs an inference attack-resistant e-healthcare cloud system with fine-grained access control, and proposes a two-layer encryption scheme, ...

With the development of society and economy, people pay more attention to their own health. The demand of more personalized health service is gradually rising.

May 8, 2019 · Abstract—Big data mining-driven disease risk prediction has become one of the important topics in the field of e-healthcare.

These techniques are well appropriate to convert stored data into valuable information to provide decision support in the healthcare system, e.g., to improve ...

Jul 26, 2022 · Thus, this paper proposes an efficient privacy-preserving (PP) scheme for patient healthcare data collected from IoT devices aimed at disease ...