CTP: A Causal Interpretable Model for Non-Communicable Disease Progression Prediction

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Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data

D Cheng, Z Xu, J Li, L Liu, X Guo, S Zhang - arxiv preprint arxiv …, 2024 - arxiv.org
Querying causal effects from time-series data is important across various fields, including
healthcare, economics, climate science, and epidemiology. However, this task becomes …
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