ArticleJournal of big data2023
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities.
Article in Journal of big data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Enhancing healthcare through ontology: a systematic review of challenges and future directions.Frontiers in artificial intelligence · 2026Pooled it
- Enhancing patient care with AI agents: integrating advanced chatbot technologies for improved healthcare delivery.BMC medical informatics and decision making · 2026Article
- Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Inference of dependency knowledge graph for Electronic Health Records.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2026Article
- From Knowledge Graphs to Digital Twins: Perspectives on Modeling Patient Outcomes for Health Care Quality Assessment.Journal of medical Internet research · 2026Article
- Enhancing CAP Education with a multi-guideline knowledge graph: a mixed-methods study.BMC medical education · 2026Article
- Large language models improve transferability of electronic health record-based predictions across countries and coding systems.NPJ digital medicine · 2026Article
- Natural language processing-driven knowledge graphs for transformative public health intelligence and research datasets in urgent and emergency care.Frontiers in public health · 2026Article
- A multi-view validation framework for LLM-generated knowledge graphs of chronic kidney disease.International journal of computer assisted radiology and surgery · 2025Article
- Development of a large language model-based knowledge graph for chemotherapy-induced nausea and vomiting in breast cancer and its implications for nursing.International journal of nursing sciences · 2025Article
- A review on knowledge graphs for healthcare: Resources, applications, and promises.Journal of biomedical informatics · 2025Review
- A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems.Scientific reports · 2025Article
- MAD-Onto: an ontology design for mobile app development.Frontiers in artificial intelligence · 2025Article
- Liver cancer knowledge graph construction based on dynamic entity replacement and masking strategies RoBERTa-wwm-large-BiLSTM-CRF model with clinical Chinese EMRs.Frontiers in artificial intelligence · 2025Article
- Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks?Therapeutic advances in drug safety · 2025Review
- BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature.Computational and structural biotechnology journal · 2024Article
- A systematic literature review of knowledge graph construction and application in education.Heliyon · 2024Review
- Knowledge graph construction for heart failure using large language models with prompt engineering.Frontiers in computational neuroscience · 2024Article
- Enhancing traditional Chinese medical named entity recognition with Dyn-Att Net: a dynamic attention approach.PeerJ. Computer science · 2024Article
- The OREGANO knowledge graph for computational drug repurposing.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge graphs (KGs) have proven utility in this arena and are rooted in a number of healthcare applications to furnish better data representation and knowledge inference. However, in conjunction with a lack of a representative KG construction taxonomy, several existing approaches in this designated domain are inadequate and inferior. This paper is the first to provide a comprehensive taxonomy and a bird's eye view of healthcare KG construction. Additionally, a thorough examination of the current state-of-the-art techniques drawn from academic works relevant to various healthcare contexts is carried out. These techniques are critically evaluated in terms of methods used for knowledge extraction, types of the knowledge base and sources, and the incorporated evaluation protocols. Finally, several research findings and existing issues in the literature are reported and discussed, opening horizons for future research in this vibrant area.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.