Name
Title | ||
|---|---|---|
Auto-Selection Of Dpc Codes From Discharge Summaries By Text Mining In Several Hospitals And Analysis Of Differences In Discharge Summaries |
Abstract | ||
|---|---|---|
Recently, Electronic Medical Record (EMR) systems have become popular in Japan, and numerous discharge summaries are being stored electronically, although they have not yet been reutilized. We performed text mining by using the term frequency-inverse document frequency method along with a morphological analysis of the discharge summaries from 3 hospitals (the Chiba University Hospital, St. Luke's International Hospital, and the Saga University Hospital). We found differences in the styles of the summaries between hospitals, while the rates of properly classified Diagnosis Procedure Combination (DPC) codes were almost the same. Beyond the different styles for the discharge summaries, the text mining method was able to obtain appropriate extracts of the proper DPC codes. An improvement was observed by using the integrated model data between the hospitals. It appeared that a large database containing data from many hospitals could improve the precision of text mining. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.20965/jaciii.2012.p0048 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
text mining, discharge summary, electronic medical record | Discharge summary,Text mining,Information retrieval,Computer science | Journal |
Volume | Issue | ISSN |
16 | 1 | 1343-0130 |
Citations | PageRank | References |
1 | 0.41 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Doi Shunsuke | 1 | 1 | 1.76 |
| Takahiro Suzuki | 2 | 1 | 0.41 |
| Shimada Gen | 3 | 1 | 1.09 |
| Takasaki Mitsuhiro | 4 | 1 | 1.09 |
| Fujita Shinsuke | 5 | 1 | 1.42 |
| Toshiyo Tamura | 6 | 189 | 30.07 |
| Katsuhiko Takabayashi | 7 | 111 | 13.70 |