Abstract
Monitoring patients hospitalized in hemato-oncology departments to undergo clinical protocols of therapy is a complex task. The main difficulty arises in the follow-up of the oncology protocol and in the management of critical episodes of acute illness which frequently occur due to the high toxicity of the antimitotics used. This problem can be conceptualized within the control theory paradigm as the task of controlling a process whose state can deviate unacceptably from a normal range. Following the control theory analogy at the level of knowledge bases design, we have modeled the medical knowledge as control information to represent the medical actions, and state information is used as a feedback control to readjust the command.
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Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Barreiro A., Otero R. P., Marín R., Mira J. A modular knowledge base for the follow-up of clinical protocols. Methods Inf Med. 1993 Nov;32(5):373–381. [PubMed] [Google Scholar]
- Miller R. A., Masarie F. E., Jr The demise of the "Greek Oracle" model for medical diagnostic systems. Methods Inf Med. 1990 Jan;29(1):1–2. [PubMed] [Google Scholar]