Title :
MSR: A system for selecting the best strategy to reduce surgical risk
Author :
Consorti, F. ; Assenza, M. ; Ferri, F. ; Folliero, G. ; Gargiulo, A. ; Lombardi, A. ; Martinis, G. ; Di Paola, M.
Author_Institution :
IV Semeiotica Chirurgica, Univ. ´´La Sapienza´´, Rome, Italy
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
The present works describes the results of a research started in March 89 at IV Semeiotica Chirurgica of University ´La Sapienza´ of Rome regarding the minimisation of the surgical risk. Many previous experiences showed (1) (5) the real importance of a user-controlled tool assisting physicians in choosing the best clinical protocol to be used in the treatment of a patient and adaptable to the rapid evolution of scientific knowledge and to the activity of different Schools in emphasising different aspects of the clinical protocols, beside a computerised support can be precious in the decision making, mainly when a big set of data must be evaluated. The main characteristics of our system are: the refusal of an only probabilistic approach to guide clinical behaviour aimed to the reduction of surgical risk and the design and implementation of an environment in which the expert´s knowledge could be introduced in a quite free way, obtaining automated formalization of the knowledge base.
Keywords :
medical expert systems; risk analysis; surgery; IV Semeiotica Chirurgica; Rome; University ´La Sapienza´; automated formalization; decision making; expert knowledge; patient treatment; probabilistic approach; scientific knowledge; surgical risk; user-controlled tool; Biomedical monitoring; Cardiology; Indexes; Monitoring; Surgery;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761431