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Found 3 papers, 0 papers with code
Extrapolatable Transformer Pre-training for Ultra Long Time-Series Forecasting
This underscores the limitations of the existing transformer-based architectures, particularly their scalability to handle large-scale data and ability to capture long-term temporal dependencies.
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada
The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources.
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models
Modeling disease progression in healthcare administrative databases is complicated by the fact that patients are observed only at irregular intervals when they seek healthcare services.
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