From predictions to prescriptions: A data-drivenresponse to COVID-19

@inproceedings{Bertsimas2020FromPT,
  title={From predictions to prescriptions: A data-drivenresponse to COVID-19},
  author={D. Bertsimas and L{\'e}onard Boussioux and R. Cory Wright and Alice Delarue and Vassilis Digalakis and Agathe Jacquillat and D. Lahlou Kitane and G. Lukin and M. L. Li and Lorenzo Mingardi and Omid Nohadani and A. Orfanoudaki and Theodoros Papalexopoulos and Ivan S. Paskov and Jean Pauphilet and O. Skali Lami and B{\'e}atrice Stellato and H. Tazi Bouardi and K. Villalobos Carballo and H. Wiberg and C. Zeng},
  booktitle={medRxiv},
  year={2020}
}
  • D. Bertsimas, Léonard Boussioux, +18 authors C. Zeng
  • Published in medRxiv 2020
  • Medicine, Mathematics, Biology
  • The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at a steep economic price. We design analytical tools to support these decisions and combat the pandemic. Specifically, we propose a comprehensive data-driven approach to understand the clinical characteristics of COVID-19, predict… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 65 REFERENCES

    A Unified Approach to Interpreting Model Predictions

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    From local explanations to global understanding with explainable AI for trees

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    A scalable tree boosting system in Proceedings of the 22nd 716 acm sigkdd international conference on knowledge discovery and data mining

    • T Chen, C Guestrin, Xgboost
    • pp. 785–794 717
    • 2016

    A scalable tree boosting system in Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

    • T Chen, C Guestrin, Xgboost
    • pp. 785–794
    • 2016
    VIEW 1 EXCERPT

    An 81 nucleotide deletion in SARS-CoV-2 ORF7a identified from sentinel 705 surveillance in Arizona

    • L A Holland
    • J. Virol

    An international multi-center study

    • D Bertsimas, et al., Covid-19 Mortality Risk Assessment
    • 2020
    VIEW 1 EXCERPT