Pilot study uses pretrained video encoder features from lung ultrasound to predict 30-day CHF readmission, finding lower-lung views and temporal differences most informative with top MLP F1 of 0.80.
Differentiable causal discovery from interventional data, 2020 a
4 Pith papers cite this work. Polarity classification is still indexing.
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Empirical evaluation on synthetic and real-world datasets indicates that natural experiments are present and can be leveraged via causal feature selection to boost model performance.
Causal density functions are Radon-Nikodym derivatives serving as local density ratios between do and obs distributions, allowing observational expectations reweighted by the ratio to reproduce interventional ones.
citing papers explorer
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Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis
Pilot study uses pretrained video encoder features from lung ultrasound to predict 30-day CHF readmission, finding lower-lung views and temporal differences most informative with top MLP F1 of 0.80.
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Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection
Empirical evaluation on synthetic and real-world datasets indicates that natural experiments are present and can be leveraged via causal feature selection to boost model performance.
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Causal Density Functions
Causal density functions are Radon-Nikodym derivatives serving as local density ratios between do and obs distributions, allowing observational expectations reweighted by the ratio to reproduce interventional ones.
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