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데이터 마이닝을 활용한 UHDDS의 표준간호용어 기반 기록의 분석
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| Abstract : The purposes of this study were to discover nursing specific knowledge with hospital discharge data set applying data mining technique and to identify the utilization of data mining skill for clinical decision making. Data mining based on enterprise miner was conducted on a large clinical data set containing standardized nursing language including NANDA, NIC, and NOC. Randomized 700 patient data were selected from year 1998 database which had at least one of the five most frequently used nursing diagnoses. Patient characteristics and care service characteristics including nursing diagnoses, interventions and outcomes were analyzed to derive the meaningful decision rules. Decision Tree Model using five most frequent nursing diagnoses as target value showed that nursing interventions and outcomes and other patient characteristics were classified reasonably and consistent to the nursing care plan suggested by experts. This study demonstrated the utilization of the data mining method through large data set with standardized language format to identify the contribution of nursing care to patient's health. |
| keyword : Uniform Hospital Discharge Data Set, Data Mining, Standardized Nursing Language |
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