A Methodology for Implementing Clinical Algorithms Using Expert System an Database Tools
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Citation: Donald W. Rucker and Edward H. Shortliffe. (1989) A Methodology for Implementing Clinical Algorithms Using Expert System an Database Tools. In KSL-89-19, 1989.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Donald W. Rucker and Edward H. Shortliffe |
| title | A Methodology for Implementing Clinical Algorithms Using Expert System an Database Tools |
| number | KSL-89-19 |
| institution | Knowledge Systems, AI Laboratory |
| address | Washington D.C. |
| year | 1989 |
| Bibtex more | |
| Access Paper | |
| abstract | The HyperLipid Advisory System is a combination of an expert system and a database that uses an augmented transition network methodology for implementing clinical algorithms. These algorithms exist as tables from which the separate expert-system rule base sequentially extracts the steps in the algorithm. The rule base assumes that the algorithm has a binary branching structure and models episodes of clinical care, but otherwise makes no assumption regarding the specific clinical domain. HyperLipid uses the NIH Cholesterol Education Program Expert Panel recommendations, which are in a binary branching format, as its source of medical knowledge. HyperLipid has a temporal representation mapping patient data into a database, so the clinical algorithms can range over multiple patient encounters. Use of a commercially available expert-system tool for such tasks allows algorithm implementation in standard personal-computing environments. |
| KSL Technical Report ID: KSL-89-19 |
Facts about A Methodology for Implementing Clinical Algorithms Using Expert System an Database ToolsRDF feed
| Abstract | The HyperLipid Advisory System is a combin … The HyperLipid Advisory System is a combination of an expert system and a database that uses an augmented transition network methodology for implementing clinical algorithms. These algorithms exist as tables from which the separate expert-system rule base sequentially extracts the steps in the algorithm. The rule base assumes that the algorithm has a binary branching structure and models episodes of clinical care, but otherwise makes no assumption regarding the specific clinical domain. HyperLipid uses the NIH Cholesterol Education Program Expert Panel recommendations, which are in a binary branching format, as its source of medical knowledge. HyperLipid has a temporal representation mapping patient data into a database, so the clinical algorithms can range over multiple patient encounters. Use of a commercially available expert-system tool for such tasks allows algorithm implementation in standard personal-computing environments. standard personal-computing environments. |
| Address | Washington D.C. + |
| Author | Donald W. Rucker and Edward H. Shortliffe + |
| Bibtype | techreport + |
| Has author | Donald W. Rucker and Edward H. Shortliffe + |
| Has identifier | KSL-89-19 + |
| Has publishing details | 1989 + |
| Has title | A Methodology for Implementing Clinical Algorithms Using Expert System an Database Tools + |
| Has where published | KSL-89-19 + |
| Has year | 1989 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-89-19 + |
| Number | KSL-89-19 + |
| Process note | YES + |
| Title | A Methodology for Implementing Clinical Algorithms Using Expert System an Database Tools + |
| Year | 1989 + |
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