mlsanityData to 7 Oct 2026

Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications

arXiv 2402.12608 ↗First posted 20 Feb 2024cs.AIcited by 6

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Abstract (arXiv)

Patient-Centric Knowledge Graphs (PCKGs) represent an important shift in healthcare that focuses on individualized patient care by mapping the patient's health information in a holistic and multi-dimensional way. PCKGs integrate various types of health data to provide healthcare professionals with a comprehensive understanding of a patient's health, enabling more personalized and effective care. This literature review explores the methodologies, challenges, and opportunities associated with PCKGs, focusing on their role in integrating disparate healthcare data and enhancing patient care through a unified health perspective. In addition, this review also discusses the complexities of PCKG development, including ontology design, data integration techniques, knowledge extraction, and structured representation of knowledge. It highlights advanced techniques such as reasoning, semantic search, and inference mechanisms essential in constructing and evaluating PCKGs for actionable healthcare insights. We further explore the practical applications of PCKGs in personalized medicine, emphasizing their significance in improving disease prediction and formulating effective treatment plans. Overall, this review provides a foundational perspective on the current state-of-the-art and best practices of PCKGs, guiding future research and applications in this dynamic field.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 23 of its 158 references that are in the map. First posted on arXiv 20 Feb 2024.

Builds on

23 of 158 references.

References · 23

  1. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  2. 2015A Review of Relational Machine Learning for Knowledge Graphscited by 264
  3. 2023Knowledge Graphs: Opportunities and Challengescited by 70
  4. 2020Domain-specific Knowledge Graphs: A surveycited by 68
  5. 2018EventKG: A Multilingual Event-Centric Temporal Knowledge Graphcited by 43
  6. 2019Product Knowledge Graph Embedding for E-commercecited by 36
  7. 2022Multi-modal Graph Learning for Disease Predictioncited by 34
  8. 2020Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphscited by 26
  9. 2016Neuro-symbolic representation learning on biological knowledge graphscited by 25
  10. 2017SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendationcited by 15
  11. 2022Multimodal Learning on Graphs for Disease Relation Extractioncited by 15
  12. 2023Language Models with Rationalitycited by 15
11 more
  1. 2019Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graphcited by 12
  2. 2018LinkNBed: Multi-Graph Representation Learning with Entity Linkagecited by 10
  3. 2020Personal Health Knowledge Graphs for Patientscited by 7
  4. 2021Applying Personal Knowledge Graphs to Healthcited by 7
  5. 2022Improving Question Answering over Knowledge Graphs Using Graph Summarizationcited by 6
  6. 2022A review of knowledge graph application scenarios in cyber securitycited by 6
  7. 2023Linking Surface Facts to Large-Scale Knowledge Graphscited by 5
  8. 2018Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognitioncited by 4
  9. 2022Refining Diagnosis Paths for Medical Diagnosis based on an Augmented Knowledge Graphcited by 4
  10. 2020Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changescited by 2
  11. 2020Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 2.

6 papers.

  1. 2025An Auditable Agent Platform For Automated Molecular Optimisationcited by 2
  2. 2025Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language Modelscited by 2
  3. 2025From Patient Consultations to Graphs: Leveraging LLMs for Patient Journey Knowledge Graph Constructioncited by 0
  4. 2025Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answeringcited by 0
  5. 2026VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphscited by 0
  6. 2026Personal Care Utility: Health as Everyday Infrastructurecited by 0