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 …
Effect of quantum computing on blockchain-based electronic health record systems
Modern healthcare systems are known for being extremely complicated and expensive. On
the other hand, improved health record management can help lessen this. The Electronic …
the other hand, improved health record management can help lessen this. The Electronic …
An ontology-based interpretable fuzzy decision support system for diabetes diagnosis
Diabetes is a serious chronic disease. The importance of clinical decision support systems
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …
[PDF][PDF] Blockchain-based electronic health record system for efficient Covid-19 pandemic management
Abstract Electronic Health Record (EHR) is being used in most healthcare institutions to
preserve and share health records instead of a paper-based method. Data records must be …
preserve and share health records instead of a paper-based method. Data records must be …
Type-2 fuzzy ontology-based semantic knowledge for indoor air quality assessment
A Ghorbani, K Zamanifar - Applied Soft Computing, 2022 - Elsevier
Semantic web technology plays an increasing role in performing smart home applied
programs and it has led to improve semantic interoperability among different systems …
programs and it has led to improve semantic interoperability among different systems …
An extended semantic interoperability model for distributed electronic health record based on fuzzy ontology semantics
Semantic interoperability of distributed electronic health record (EHR) systems is a crucial
problem for querying EHR and machine learning projects. The main contribution of this …
problem for querying EHR and machine learning projects. The main contribution of this …
[HTML][HTML] 本体在糖尿病临床决策支持系统中的应用
祎灵周, 清阳石, 向阳陈, 舍予李… - Journal of Sichuan …, 2023 - ncbi.nlm.nih.gov
基于电子健康系统的临床决策支持系统( clinical decision support system, CDSS)
可以辅助基层医生进行临床决策, 提高诊疗效率。 其中利用本体构建CDSS …
可以辅助基层医生进行临床决策, 提高诊疗效率。 其中利用本体构建CDSS …
Semantic architecture for interoperability in distributed healthcare systems
Electronic Health Records (EHRs) aggregate the entire patient's data from different systems.
Achieving interoperability for distributed EHR systems is expected to improve patient safety …
Achieving interoperability for distributed EHR systems is expected to improve patient safety …
Semantic mediation model to promote improved data sharing using representation learning in heterogeneous healthcare service environments
S Ali, I Chong - Applied Sciences, 2019 - mdpi.com
Interoperability has become a major challenge for the development of integrated healthcare
applications. This is mainly because of the reason that data is collected, processed, and …
applications. This is mainly because of the reason that data is collected, processed, and …
Interoperability of electronic health records for dyslipidemia using knowledge graphs
A Bashir, R Nagpal, D Mehrotra… - 2023 13th International …, 2023 - ieeexplore.ieee.org
Clinical information of a patient is voluminous, varied and critically important for decision
making process to the medical experts. The data is complicated and is not organized in a …
making process to the medical experts. The data is complicated and is not organized in a …