Threat-Removal Strategies for Partial-Order Planning

Abstract

Stroke patients had high incidence of pathogenic bacteria in their sputum which might be prone to pneumonia. The time after admission of the onset of UTI is useful information for predicting contributory pathogens and planning for appropriate treatment.

Cite

Text

Peot and Smith. "Threat-Removal Strategies for Partial-Order Planning." AAAI Conference on Artificial Intelligence, 1993. doi:10.3109/09638288.2012.708817

Markdown

[Peot and Smith. "Threat-Removal Strategies for Partial-Order Planning." AAAI Conference on Artificial Intelligence, 1993.](https://mlanthology.org/aaai/1993/peot1993aaai-threat/) doi:10.3109/09638288.2012.708817

BibTeX

@inproceedings{peot1993aaai-threat,
  title     = {{Threat-Removal Strategies for Partial-Order Planning}},
  author    = {Peot, Mark A. and Smith, David E.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1993},
  pages     = {492-499},
  doi       = {10.3109/09638288.2012.708817},
  url       = {https://mlanthology.org/aaai/1993/peot1993aaai-threat/}
}