Building decision support systems for treating severe head injuries
Dora, C.S.
Sarkar, M.
Sundaresh, S.
Harmanec, D.
Tseng Tsai Yeo
Kim Leng Poh
Tze Yun Leong
Sch. of Comput., Nat. Univ. of Singapore;
This paper appears in: Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Publication Date: 2001
Volume: 5,
On page(s): 2952-2957 vol.5
Meeting Date: 10/07/2001 - 10/10/2001
Location: Tucson, AZ, USA
ISBN: 0-7803-7087-2
References Cited: 6
INSPEC Accession Number: 7162619
Digital Object Identifier: 10.1109/ICSMC.2001.971959
Current Version Published: 2002-08-06
Abstract
In intensive care units, the patients, who are suffering from
severe head injuries, usually enter a state of coma. To treat such
patients, who are prone to a high risk of mortality, the neurologist
adopts certain aggressive and informed decision-making procedures.
Designing a decision support system (DSS) that would automate or enhance
this kind of treatment procedure is difficult, due to the presence of
unclear domain relationships, numerous interacting variables, time
criticality and real-time multiple inputs. We illustrate how the
decision analysis framework can be exploited to build a consultative DSS
for severe head injury management. Specifically, we need to: (a)
understand the head injury problem, with its inherent uncertainties, (b)
structure the problem, and (c) discern the decision process. The
designed system accepts the prognostic factors of a particular patient
as input, and subsequently provides treatment advice as output. The
effectiveness of the treatment is ranked in terms of patient recovery
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