Multimodal medical data fusion has emerged as a transformative approach in smart healthcare, enabling a comprehensive understanding of patient health and personalized …
X Wu, J Duan, Y Pan, M Li - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
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 …
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 …
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 …
F Zhou, J Mi, B Zhang, J Shi, R Zhang, X Chen… - Visual Computing for …, 2023 - Springer
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 …
D Zhu, H Yin, Y Xu, J Wu, B Zhang, Y Cheng… - Data Science and …, 2023 - Springer
Advanced knowledge engineering (KE), represented by knowledge graph (KG), drives the development of various fields and engineering technologies and provides various …
Y Chen, B Sinha, F Ye, T Tang, R Wu… - Clinical and …, 2022 - Wiley Online Library
Background Personal lifestyle is an important cause of prostate cancer (PCa), hence establishing a corresponding knowledge graph (KG) and a chatbot is a convenient way for …