Research map / Time series / Long-term forecasting
GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care (ICML 2018 · similarity 0.88)
- Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML (ICLR 2024 · similarity 0.87)
- Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements (AAAI 2016 · similarity 0.86)
- Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series (NeurIPS 2024 · similarity 0.83)
- GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs (ICLR 2024 · similarity 0.83)
- Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework (AAAI 2025 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
