Heart Failure Decision Support System Using Semantic Web Approach

Furqon, Muhammad Ariful; Rakhmawati, Nur Aini; Mahananto, Faizal

doi:10.1109/icitisee.2018.8720984

Cited by 2 publications

(1 citation statement)

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“…Those research problems were the Covid-19 pandemic and many other research topics in the healthcare domain. One of the research topics in the healthcare domain is predicting heart failure factors such as patient information, symptoms, and ECG [4]. The development of health research from year to year can undoubtedly provide new knowledge for researchers related to world problems and trends in topics and health issues.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Graph Modeling in Healthcare: A Bibliometric Analysis

Furqon

Najwa

Hermansyah³

et al. 2022

JKT

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Healthcare issues are currently the most researched issues worldwide. Many healthcare researchers collaborate with non-healthcare researchers to improve the quality of healthcare. The knowledge graph is a widely used computer science and mathematics approach to solve healthcare issues. It can model the relationship between events to build new knowledge. Hence, a comprehensive study on knowledge graph modeling in healthcare was conducted in this study. The research methodologies in this study were: (1) article retrieval and general bibliometric analysis; (2) visualization of research distribution; and (3) research recommendations. In the last three years, 867 articles were retrieved from three databases. The citation metrics analysis was also conducted to determine the quality level of articles retrieval. An analysis was conducted using network and density visualization related to the relationship between research topics and trends. The final results in this paper are recommendations for research topics and research titles related to knowledge graph modeling in healthcare.

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Section: Introductionmentioning

confidence: 99%