A Free-Text Processing System to Capture Physical Findings: Canonical Phrase Identification System (CAPIs)
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Citation: Richard Lin and Leslie A. Lenert and Blackford Middleton and Smadar Shiffman. (1991) A Free-Text Processing System to Capture Physical Findings: Canonical Phrase Identification System (CAPIs). In KSL-91-27, 1991.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Richard Lin and Leslie A. Lenert and Blackford Middleton and Smadar Shiffman |
| title | A Free-Text Processing System to Capture Physical Findings: Canonical Phrase Identification System (CAPIs) |
| number | KSL-91-27 |
| institution | Knowledge Systems, AI Laboratory |
| address | Washington, D.C. |
| year | 1991 |
| Bibtex more | |
| Access Paper | |
| abstract | The task of gathering detailed patient information from free-text medical records present a significant barrier to clinical research. In this paper, we describe a prototype system for extracting physical examination findings from dictated admission summaries. Our computer program applies a concept-based free-text processing algorithm that identifies user-selected target physical examination findings. We are using the extraction system to enrich an existing clinical database. The system was evaluated by comparing the physical examination findings extracted by our computer program with findings extracted by an independent investigator. Or prototype system was able to recall 92 percent (sensitivity) of the relevant physical findings, with a precision of 96 percent (positive predictive value). |
| KSL Technical Report ID: KSL-91-27 |
Facts about A Free-Text Processing System to Capture Physical Findings: Canonical Phrase Identification System (CAPIs)RDF feed
| Abstract | The task of gathering detailed patient inf … The task of gathering detailed patient information from free-text medical records present a significant barrier to clinical research. In this paper, we describe a prototype system for extracting physical examination findings from dictated admission summaries. Our computer program applies a concept-based free-text processing algorithm that identifies user-selected target physical examination findings. We are using the extraction system to enrich an existing clinical database. The system was evaluated by comparing the physical examination findings extracted by our computer program with findings extracted by an independent investigator. Or prototype system was able to recall 92 percent (sensitivity) of the relevant physical findings, with a precision of 96 percent (positive predictive value). of 96 percent (positive predictive value). |
| Address | Washington, D.C. + |
| Author | Richard Lin and Leslie A. Lenert and Blackford Middleton and Smadar Shiffman + |
| Bibtype | techreport + |
| Has author | Richard Lin and Leslie A. Lenert and Blackford Middleton and Smadar Shiffman + |
| Has identifier | KSL-91-27 + |
| Has publishing details | 1991 + |
| Has title | A Free-Text Processing System to Capture Physical Findings: Canonical Phrase Identification System (CAPIs) + |
| Has where published | KSL-91-27 + |
| Has year | 1991 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-91-27 + |
| Number | KSL-91-27 + |
| Process note | YES + |
| Title | A Free-Text Processing System to Capture Physical Findings: Canonical Phrase Identification System (CAPIs) + |
| Year | 1991 + |
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