Dynamic Behavioral Phenotyping for Predicting Health Outcomes

Patent US20210151194 · 2020

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Abstract

Systems and methods for dynamic behavioral phenotyping that leverages continuously collected behavioral data from wearable and mobile devices to predict health outcomes through machine learning models applied to multi-variate time series of behavioral signals.

BibTeX

@patent{evidation-dynamic-behavioral-phenotyping},
  title = {Dynamic Behavioral Phenotyping for Predicting Health Outcomes},
  author = {Luca Foschini and Tom Quisel and Christine Lemke and Arya Pourzanjani and Haraldur Tomas Hallgrimsson and Jessie Juusola and Alessio Signorini and Ursula Nasch},
  number = {US20210151194},
  month = {08},
  year = {2020},
  url = {https://alessiosignorini.com/publications/evidation-dynamic-behavioral-phenotyping/},
}

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Authors

Luca Foschini, Tom Quisel, Christine Lemke, Arya Pourzanjani, Haraldur Tomas Hallgrimsson, Jessie Juusola, Alessio Signorini, and Ursula Nasch