GraphCare Source code for our paper: "GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs". Requirements: pip install torch==1.12.0 pip install torch-geometric==2.3.0 pip install pyhealth==1.1.2 pip install scikit-learn==1.2.1 pip install openai==0.27.4 ...
Incorporating Knowledge Graphs (KGs) in healthcare recommender systems offers a powerful means to address the complexities of patient health data. By harnessing the interlinks within a KG, novel paths that connect patients and healthcare items (e.g., treatments or medications) can be discovered. ...
Health-Aware Food Recommendation Based on Knowledge Graph and Multi-Task Learning Based on these two prior perspectives, we develop a novel health-aware food recommendation model ( F K G M ) using knowledge graph embedding and multi... Y Chen,Y Guo,Q Fan,... - 《Foods》 被引量: 0发表...
An illustration of proposed causal graph learning framework using meta machine learning. We amortize the knowledge in the initialization graph for the causal structure learning problem [Math Processing Error]WWmeta. For each task, we solve the structure learning problem with initialization from [Math ...
The gut microbiome is closely associated with health status, and any microbiota dysbiosis could considerably impact the host’s health. In addition, many active consortium projects have generated many reference datasets available for large-scale retrospe
Figure summarising the researchers' personalized food recommendation architecture: Given a user query in natural language, along with the user's context (comprising dietary preferences and health guidelines), the system finds top-ranked and personalized answers from the FoodKG food knowledge graph. QE,...
摘要: Background: The health benefits of regular physical activity (PA) are well-established and widely acknowledged. Through the integration of wearable trackers, the Internet of Things (IoT)—a network ...关键词: Reinforcement Learning Physical Activity Contextual Bandit Recommendation System ...
Advancements in machine learning have recently enabled the hyper-realistic synthesis of prose, images, audio and video data, in what is referred to as artificial intelligence (AI)-generated media. These techniques offer novel opportunities for creating interactions with digital portrayals of individuals...
To validate this idea, we create a QA style dataset for personalized food recommendation based on a large-scale food knowledge graph and health guidelines. Furthermore, we propose a KBQA-based personalized food recommendation framework which is equipped with novel techniques for handling negations ...
Participants in the intervention group will receive integrated interventions that comprise three components: (1) health education with an emphasis on elderly nutrition, (2) personalized dietary advisory service powered by a knowledge-based meal recommendation system, and (3) a healthy food-providing ser...