Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Here we present the mI-CLAIm checklist, a tool intended to improve transparent reporting of AI algorithms in medicine.
Over the hump: Have we reached the peak of carbon emissions?
An expanded obstetric comorbidity scoring system for predicting severe maternal morbidity
BusTr: Predicting Bus Travel Times from Real-Time Traffic
Abstract: We present BusTr, a machine-learned model for translating road tra c forecasts into predictions of bus delays, used by Google Maps to serve the majority of the world’s public transit systems where no o cial real-time bus tracking is provided. We demonstrate that our neural sequence model improves over DeepTTE, the state-of-the-art baseline, both in performance (−30% MAPE) and training stability. We also demonstrate signi cant generalization gains over simpler models, evaluated on longitudinal data to cope with a constantly evolving world.
SARS-CoV-2 Community Transmission disproportionately affects Latinx population during Shelter-in-Place in San Francisco
Abstract:
Background: There is urgent need to understand the dynamics and risk factors driving ongoing SARS-CoV-2 transmission during shelter-in-place mandates.