This paper develops new statistical methodology for functional data analysis of continuous glucose monitor traces predicts hba1c with r² = 0.89: outperforming traditional summary statistics.
This paper investigates the relationship between spot instances and preemption through controlled experiments on 19 diverse datasets totaling 20,748 samples. We propose a novel methodology that achieves 22.
Raynaud phenomenon is triggered by cold exposure in >95% of attacks. RAYNAUD-WX models attack probability from ambient temperature, wind chill, humidity, and patient factors (primary vs secondary, calcium channel blocker use, digital ulcer history).
Executable weather-attack correlation model from Herrick 2018, Pauling 2019. Correlation-based, not prospectively validated.
We implement a weather-based Raynaud attack frequency estimator using published temperature-attack correlations (Herrick 2018, Pauling 2019). The model takes ambient temperature, humidity, wind chill, and patient-specific factors (primary vs secondary, calcium channel blocker use, digital ulcer history) to estimate daily attack probability.
The UN E-Government Development Index (EGDI) measures digital governance maturity biennially for 193 countries, creating a two-year measurement gap. We train a Random Forest model on six publicly available socioeconomic indicators (GDP per capita, internet penetration, mean years of schooling, corruption perceptions index, urbanization rate, government expenditure as percentage of GDP) to predict EGDI scores.