Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology

RGJ Pablo, DP Roberto, SU Victor… - Journal of integrative …, 2022 - degruyter.com
In the last decades big data has facilitating and improving our daily duties in the medical
research and clinical fields; the strategy to get to this point is understanding how to organize …

A systematic review of technologies and standards used in the development of rule-based clinical decision support systems

P Papadopoulos, M Soflano, Y Chaudy, W Adejo… - Health and …, 2022 - Springer
Abstract A Clinical Decision Support System (CDSS) is a technology platform that uses
medical knowledge with clinical data to provide customised advice for an individual patient's …

Intelligent health data analytics: a convergence of artificial intelligence and big data

SSR Abidi, SR Abidi - Healthcare management forum, 2019 - journals.sagepub.com
Healthcare is a living system that generates a significant volume of heterogeneous data. As
healthcare systems are pivoting to value-based systems, intelligent and interactive analysis …

A scalable and efficient PKI based authentication protocol for VANETs

M Asghar, RRM Doss, L Pan - 2018 28th International …, 2018 - ieeexplore.ieee.org
Intelligent Transportation System (ITS) has came up as important solution for safety of
automotive users. ITS deployment in near future will not only improve drivers and …

An efficient and privacy-preserving disease risk prediction scheme for e-healthcare

X Yang, R Lu, J Shao, X Tang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Big data mining-driven disease risk prediction has become one of the important topics in the
field of e-healthcare. However, without the security and privacy assurances, disease risk …

Plausible reasoning over large health datasets: A novel approach to data analytics leveraging semantics

H Mohammadhassanzadeh, SR Abidi… - Knowledge-Based …, 2024 - Elsevier
Plausible reasoning is an interesting and viable approach for semantic data analytics as it
provides a non-deterministic and exploratory approach to inferring new knowledge from …

Contributions from the 2017 literature on clinical decision support

V Koutkias, J Bouaud… - Yearbook of medical …, 2018 - thieme-connect.com
Objectives: To summarize recent research and select the best papers published in 2017 in
the field of computerized clinical decision support for the Decision Support section of the …

MAbortionPre: Predicting the Risk of Missed Abortion through Complete Observation of Clinical Data

X Bo, Y Yao, G Li, J Yang, X Zhou… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
During pregnancy, childbirth, and postpartum, pregnant women may encounter various
physical issues, one of which is missed abortion (also known as delayed abortion). Its …

[HTML][HTML] OWL-NETS: Transforming OWL representations for improved network inference

TJ Callahan, WA Baumgartner Jr, M Bada… - Pacific Symposium on …, 2018 - ncbi.nlm.nih.gov
Our knowledge of the biological mechanisms underlying complex human disease is largely
incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL) …

[PDF][PDF] Eliciting and confirming data, information, knowledge and wisdom in a specialist health care setting: the WICKED method

S Impey, D Berry, S Furtado, M Galvin… - … Journal of Computer …, 2023 - researchgate.net
Healthcare is a knowledge-rich environment. This knowledge, while valuable, is not always
accessible outside the borders of individual clinics. This research aims to address part of this …