Abstract
Multiple sclerosis is a disease of unknown aetiology. Despite several advances in therapy in recent years, some problems such as the prognostic criteria are imperfectly understood. Several experimental trials of therapy in multiple sclerosis are in course in order to discover a successful treatment. Most of these research studies use a clinical rating scale named Expanded Disability Status Scale (EDSS) as an evaluation tool for the effects of drugs. This scale is defined by a set of rules written in English which provide a numerical quantification of the neurological examination. Although EDSS has been widely used for almost 20 years, its application still depends on the interpretation of the neurologist who performs the neurological examination, and many applications of the scale performed by different neurologist on the same patient can give different results. This is a serious problem for international trials because they lack of a reliable measure of the effects of drugs. Here, we present an expert system for the automatic evaluation of EDSS in multiple sclerosis, which has been developed to overcome this problem. The expert system exploits an explicit representation of EDSS rules, it is able to explain its conclusions and it provides a revision tool to support the user if no satisfying solution can be reached. Using this expert system, clinical trials based on EDSS can benefit of a more reliable evaluation tool providing more valuable results.
| Original language | English |
|---|---|
| Pages (from-to) | 187-210 |
| Number of pages | 24 |
| Journal | Artificial Intelligence in Medicine |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2002 |
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Keywords
- EDSS
- Expanded Disability Status Scale
- Expert system
- Multiple sclerosis
- Prolog
ASJC Scopus subject areas
- Artificial Intelligence
- Medicine(all)
Cite this
An expert system for the evaluation of EDSS in multiple sclerosis. / Gaspari, Mauro; Roveda, Gianluigi; Scandellari, Cinzia; Stecchi, Sergio.
In: Artificial Intelligence in Medicine, Vol. 25, No. 2, 2002, p. 187-210.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An expert system for the evaluation of EDSS in multiple sclerosis
AU - Gaspari, Mauro
AU - Roveda, Gianluigi
AU - Scandellari, Cinzia
AU - Stecchi, Sergio
PY - 2002
Y1 - 2002
N2 - Multiple sclerosis is a disease of unknown aetiology. Despite several advances in therapy in recent years, some problems such as the prognostic criteria are imperfectly understood. Several experimental trials of therapy in multiple sclerosis are in course in order to discover a successful treatment. Most of these research studies use a clinical rating scale named Expanded Disability Status Scale (EDSS) as an evaluation tool for the effects of drugs. This scale is defined by a set of rules written in English which provide a numerical quantification of the neurological examination. Although EDSS has been widely used for almost 20 years, its application still depends on the interpretation of the neurologist who performs the neurological examination, and many applications of the scale performed by different neurologist on the same patient can give different results. This is a serious problem for international trials because they lack of a reliable measure of the effects of drugs. Here, we present an expert system for the automatic evaluation of EDSS in multiple sclerosis, which has been developed to overcome this problem. The expert system exploits an explicit representation of EDSS rules, it is able to explain its conclusions and it provides a revision tool to support the user if no satisfying solution can be reached. Using this expert system, clinical trials based on EDSS can benefit of a more reliable evaluation tool providing more valuable results.
AB - Multiple sclerosis is a disease of unknown aetiology. Despite several advances in therapy in recent years, some problems such as the prognostic criteria are imperfectly understood. Several experimental trials of therapy in multiple sclerosis are in course in order to discover a successful treatment. Most of these research studies use a clinical rating scale named Expanded Disability Status Scale (EDSS) as an evaluation tool for the effects of drugs. This scale is defined by a set of rules written in English which provide a numerical quantification of the neurological examination. Although EDSS has been widely used for almost 20 years, its application still depends on the interpretation of the neurologist who performs the neurological examination, and many applications of the scale performed by different neurologist on the same patient can give different results. This is a serious problem for international trials because they lack of a reliable measure of the effects of drugs. Here, we present an expert system for the automatic evaluation of EDSS in multiple sclerosis, which has been developed to overcome this problem. The expert system exploits an explicit representation of EDSS rules, it is able to explain its conclusions and it provides a revision tool to support the user if no satisfying solution can be reached. Using this expert system, clinical trials based on EDSS can benefit of a more reliable evaluation tool providing more valuable results.
KW - EDSS
KW - Expanded Disability Status Scale
KW - Expert system
KW - Multiple sclerosis
KW - Prolog
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UR - http://www.scopus.com/inward/citedby.url?scp=0036107930&partnerID=8YFLogxK
U2 - 10.1016/S0933-3657(02)00015-5
DO - 10.1016/S0933-3657(02)00015-5
M3 - Article
C2 - 12031606
AN - SCOPUS:0036107930
VL - 25
SP - 187
EP - 210
JO - Artificial Intelligence in Medicine
JF - Artificial Intelligence in Medicine
SN - 0933-3657
IS - 2
ER -