SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums

@inproceedings{Wang2014SideEffectPTMAU,
  title={SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums},
  author={Sheng Wang and Yanen Li and Duncan C. Ferguson and ChengXiang Zhai},
  booktitle={BCB '14},
  year={2014}
}
Automatic discovery of medical knowledge using data mining has great potential benefit in improving population health and reducing healthcare cost. Discovering adverse drug reaction (ADR) is especially important because of the significant morbidity of ADRs to patients. Recently, more and more patients describe the ADRs they experienced and seek for help through online health forums, creating great opportunities for these forums to discover previously unknown ADRs. In this paper, we propose a… CONTINUE READING

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