From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic · HackerPapers discussions

From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic — HN submission

Wed, 01 Jul 2020 20:13:12 GMT

AI-Based Optimization of Non-Pharmaceutical Interventions for the Covid Pandemic

The dashboard demonstrates how Evolutionary AI could be used to model the potential effects of non-pharmaceutical intervention (NPI) strategies to contain and mitigate the pandemic. The predictor is trained with historical data on the number of cases and the NPIs over time in various countries, i.e. restrictions on schools and workplaces, public events and gatherings, and transportation. A Pareto front of Prescriptors is then evolved to discover the best tradeoffs between minimizing cases and restrictions. To illustrate this principle, the site includes an interactive demo: you can explore…

6 points; 2 discussion replies on HN. Paper and source history. A submission is not an endorsement.

From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic — HN submission

Tue, 30 Jun 2020 20:02:03 GMT

AI-Based Optimization of Interventions for the Covid-19 Pandemic – Paper+demo

Several models have been developed to predict how the COVID-19 pandemic spreads, and how it could be contained with non-pharmaceutical interventions (NPIs) such as social distancing restrictions and school and business closures. This paper demonstrates how evolutionary AI could be used to facilitate the next step, i.e. determining most effective intervention strategies automatically. Through evolutionary surrogate-assisted prescription (ESP), it is possible to generate a large number of candidate strategies and evaluate them with predictive models. In principle, strategies can be customized…

6 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.