Corpus ID: 43603199

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data

@inproceedings{Bao2017HawkesPM,
  title={Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data},
  author={Yujia Bao and Zhaobin Kuang and P. Peissig and D. Page and R. Willett},
  booktitle={MLHC},
  year={2017}
}
  • Yujia Bao, Zhaobin Kuang, +2 authors R. Willett
  • Published in MLHC 2017
  • Computer Science
  • Adverse drug reaction (ADR) discovery is the task of identifying unexpected and negative events caused by pharmaceutical products. This paper describes a log-linear Hawkes process model for ADR discovery from longitudinal observational data such as electronic health records (EHRs). The proposed method leverages the irregular time-stamped events in EHRs to represent the time-varying effect of various drugs on the occurrence rate of adverse events. Experimental results on a large-scale cohort of… CONTINUE READING
    12 Citations

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