Abstract
This paper presents a survey of the history of ANEMIA, an artificial intelligence project for building a computer based consultation in the field of anemia. The knowledge base was represented by production rules, and EXPERT, an artificial intelligence programming scheme developed at Rutgers University (USA), was used as software framework. A first model, based on the selection of a pivotal finding (MCV) as the general criterion for arriving at the diagnostic categories proved early to be too rigid. In a second model the disease categories were profiled in terms of intermediate hypotheses and organized into a taxonomic hierarchy. At present, the knowledge base of ANEMIA is derived from 220 patients records.
| Original language | English |
|---|---|
| Pages (from-to) | 358-362 |
| Number of pages | 5 |
| Journal | Haematologica |
| Volume | 70 |
| Issue number | 4 |
| Publication status | Published - 1985 |
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ASJC Scopus subject areas
- Hematology
Cite this
Anemia : An artificial intelligence project. / Barosi, G.; Berzuini, A.; Quaglini, S.; Stefanelli, M.
In: Haematologica, Vol. 70, No. 4, 1985, p. 358-362.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Anemia
T2 - An artificial intelligence project
AU - Barosi, G.
AU - Berzuini, A.
AU - Quaglini, S.
AU - Stefanelli, M.
PY - 1985
Y1 - 1985
N2 - This paper presents a survey of the history of ANEMIA, an artificial intelligence project for building a computer based consultation in the field of anemia. The knowledge base was represented by production rules, and EXPERT, an artificial intelligence programming scheme developed at Rutgers University (USA), was used as software framework. A first model, based on the selection of a pivotal finding (MCV) as the general criterion for arriving at the diagnostic categories proved early to be too rigid. In a second model the disease categories were profiled in terms of intermediate hypotheses and organized into a taxonomic hierarchy. At present, the knowledge base of ANEMIA is derived from 220 patients records.
AB - This paper presents a survey of the history of ANEMIA, an artificial intelligence project for building a computer based consultation in the field of anemia. The knowledge base was represented by production rules, and EXPERT, an artificial intelligence programming scheme developed at Rutgers University (USA), was used as software framework. A first model, based on the selection of a pivotal finding (MCV) as the general criterion for arriving at the diagnostic categories proved early to be too rigid. In a second model the disease categories were profiled in terms of intermediate hypotheses and organized into a taxonomic hierarchy. At present, the knowledge base of ANEMIA is derived from 220 patients records.
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UR - http://www.scopus.com/inward/citedby.url?scp=0022360150&partnerID=8YFLogxK
M3 - Article
C2 - 3935537
AN - SCOPUS:0022360150
VL - 70
SP - 358
EP - 362
JO - Haematologica
JF - Haematologica
SN - 0390-6078
IS - 4
ER -