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 …
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
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 …
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
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 …
healthcare systems are pivoting to value-based systems, intelligent and interactive analysis …
A scalable and efficient PKI based authentication protocol for VANETs
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 …
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
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 …
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 …
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 …
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
During pregnancy, childbirth, and postpartum, pregnant women may encounter various
physical issues, one of which is missed abortion (also known as delayed abortion). Its …
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
Our knowledge of the biological mechanisms underlying complex human disease is largely
incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL) …
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
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 …
accessible outside the borders of individual clinics. This research aims to address part of this …