Real time monitoring in the control theory paradigm.
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.
Séroussi
B
B
DIAM-SIM, Service d'Informatique Médicale, Hôpitaux de Paris, France.
Morice
V
V
Dreyfus
F
F
Boisvieux
J F
JF
D000368:Aged; D000970:Antineoplastic Agents / Q000627:therapeutic use; D001185:Artificial Intelligence; D003199:Computer Systems; D003657:Decision Making; D003658:Decision Making, Computer-Assisted; D006801:Humans; D007257:Information Theory; D008228:Lymphoma, Non-Hodgkin / Q000150:complications / Q000175:diagnosis / Q000188:drug therapy; D008297:Male; D008962:Models, Theoretical; D008991:Monitoring, Physiologic / Q000379:methods*; D016522:Oncology Service, Hospital; D012984:Software
D000970:Antineoplastic Agents