Proceedings:
Artificial Intelligence in Medicine: Interpreting Clinical Data
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Papers from the 1994 AAAI Spring Symposium
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Abstract:
The prevention, detection and amelioration of adverse events feature prominently in oncology protocols, the detailed plans for conducting clinical trials of therapies for the treatment of cancer. This paper summarises a safety review of such protocols prior to implementing OaSiS, a decision support system (DSS) in oncology [11]. Oa- SiS, shortly to undergo preliminary field evaluation in an oncology clinic, has been strongly influenced by the ONCOCIN [19], OPAL [17] and EON [16] family of computer systems developed at Stanford University in the last fourteen years. Like EON, OaSiS is a shell to be used with any oncology protocol provided it can be suitably represented. It does not support or critique the design of new protocols as do OPAL and DaT [21]. Even so, the safety review is still relevant to design tools like OPAL and DaT.
Spring
Papers from the 1994 AAAI Spring Symposium