Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEE …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

G Yang, Q Ye, J ** review
SN Payrovnaziri, Z Chen… - Journal of the …, 2020 - academic.oup.com
Objective To conduct a systematic sco** review of explainable artificial intelligence (XAI)
models that use real-world electronic health record data, categorize these techniques …

Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world

F Firouzi, B Farahani, M Daneshmand… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
As COVID-19 hounds the world, the common cause of finding a swift solution to manage the
pandemic has brought together researchers, institutions, governments, and society at large …

The secondary use of electronic health records for data mining: Data characteristics and challenges

T Sarwar, S Seifollahi, J Chan, X Zhang… - ACM Computing …, 2022 - dl.acm.org
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems

Y Wu, Q Zhang, Y Hu, K Sun-Woo, X Zhang… - Future Generation …, 2022 - Elsevier
The rapidly increasing incidence of Diabetes Mellitus (DM) has shown that DM is a serious
disease that endangered human life in all parts of the world. The late stage of Type-II DM …

Medical blockchain: Data sharing and privacy preserving of EHR based on smart contract

JS Lee, CJ Chew, JY Liu, YC Chen, KY Tsai - Journal of Information …, 2022 - Elsevier
No doubt that medical data sharing is very crucial but important in realizing cross-hospital
diagnosis and improving research development. In traditional mechanisms, there always …