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