ML Anthology

Qualitative Reasoning for Automated Exploration for Chaos

Toyoaki Nishida
AAAI 1994 pp. 1211-1216
doi:10.1016/j.jhin.2018.04.002 /aaai/1994/nishida1994aaai-qualitative/

Abstract

Mobile phones and tablet computers may be contaminated with micro-organisms and become a potential reservoir for cross-transmission of pathogens between healthcare workers and patients. There is no generally accepted guidance on how to reduce contamination on mobile devices in healthcare settings. Our aim was to determine the efficacy of the Codonics D6000™ UV-C disinfection device. Daily disinfection reduced contamination on screens and on protective cases (test) significantly, but not all cases (control) could be decontaminated. The median aerobic colony count on the control and the test cases was 52 cfu/25 cm<sup>2</sup> (interquartile range: 33-89) and 22 cfu/25 cm<sup>2</sup> (10.5-41), respectively, before disinfection.

PDF AAAI Semantic Scholar

Cite

Text

Nishida. "Qualitative Reasoning for Automated Exploration for Chaos." AAAI Conference on Artificial Intelligence, 1994. doi:10.1016/j.jhin.2018.04.002

Markdown

[Nishida. "Qualitative Reasoning for Automated Exploration for Chaos." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/nishida1994aaai-qualitative/) doi:10.1016/j.jhin.2018.04.002

BibTeX

@inproceedings{nishida1994aaai-qualitative,
  title     = {{Qualitative Reasoning for Automated Exploration for Chaos}},
  author    = {Nishida, Toyoaki},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1994},
  pages     = {1211-1216},
  doi       = {10.1016/j.jhin.2018.04.002},
  url       = {https://mlanthology.org/aaai/1994/nishida1994aaai-qualitative/}
}