Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

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 …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

Context and Background: Complex fuzzy theory has a strong practical implication in many
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …

Abstract Knowledge graph as a research topic is increasingly popular to represent structural
relations between entities. Recent years have witnessed the release of various open-source …

Electronic health records (EHR) contain patients' health information in varied formats such
as clinical reports written in natural language, X-rays, MRI, case/discharge-summary, etc …

Knowledge graphs have revolutionized the organization and retrieval of real-world
knowledge, prompting interest in automatic NLP-based approaches for extracting medical …

Abstract Knowledge graph (KG) fact prediction aims to complete a KG by determining the
truthfulness of predicted triples. Reinforcement learning (RL)-based approaches have been …

Graph is an important data representation which occurs naturally in the real world
applications\cite {goyal2018graph}. Therefore, analyzing graphs provides users with better …