Abnormal diagnosis of Emergency Department triage explored with data mining technology: An Emergency Department at a Medical Center in Taiwan taken as an example

Expert Systems with Applications

Volumn 37, Issue 4, 2010, Pages 2733-2741

  Lin, Wen Tsann ^a   Wang, Shen Tsu ^b   Chiang, Ta Cheng ^c   Shi, Yu xin ^d   Chen, Wei yu ^a   Chen, Huei min ^d  

^a NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b TOKO UNIVERSITY   (Taiwan)

^c CHANG JUNG CHRISTIAN UNIVERSITY   (Taiwan)

^d CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Data mining; Decision tree; Emergency medicine; K means; Triage

Indexed keywords

DATA MINING TECHNOLOGY; DECISION TREE ANALYSIS; EDUCATION TRAINING; EMERGENCY DEPARTMENTS; EMERGENCY MEDICINE; FLOW PATH; K-MEANS; MEDICAL CENTER; PATIENT SATISFACTION; SAMPLE POINT; SUBJECTIVE FACTORS; TWO-STAGE CLUSTER ANALYSIS; WARD'S METHOD;

CLUSTER ANALYSIS; DATA MINING; DECISION TREES; EMERGENCY ROOMS; EXPERT SYSTEMS; MEDICAL COMPUTING; RESEARCH; SIMULATORS;

DIAGNOSIS;

EID: 71349085260     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.08.006     Document Type: Article

References (16)

1. Abdelfattah M.A., El-Shahat A.T., Ahmad M.E., Mosaad A.A., Mohamed M.O., and Gamal E.S. Discriminant function based on hyaluronic acid and its degrading enzymes and degradation products for differentiating cirrhotic from non-cirrhotic liver diseased patients in chronic HCV infection. Clinica Chimera Acta (2006)
2. Anderberg M.R. Cluster analysis for applications. Probability and mathematical statistics (1973), Academic Press, New York
3. Brillman J., Doezema D., and Tandberg D. Triage: Limitations in predicting the need for emergency care and hospital admissions. Annals of Emergency Medicine 27 4 (1996) 493-500
4. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20 (1960) 37-46
5. Estrada E.G. Triage systems. Nursing Clinics of North America 16 1 (1981) 13-22
6. Frawley W.J., Paitetsky-Shapiro G., and Matheus C.J. Knowledge discovery in databases: An overview knowledge discovery in database (1991), AAAI/MIT Press, California (pp. 1-30)
7. Handyside G. Triage in emergency practice (1996), Mosby, St. Louis
8. Huang M.L., and Chen H.Y. Development and comparison of automated classifiers for glaucoma diagnosis using stratus optical coherence tomography. IOVS 46 11 (2005) 4121-4129
9. Lee K., Kim J., Kwon K.H., Han Y., and Kim S. DDoS attack detection method using cluster analysis. Expert Systems with Applications 34 (2008) 1659-1665
10. Piramuthu S. Input data for decision trees. Expert Systems with Applications 34 (2008) 1220-1226
11. Quinlan J.R. Induction of decision trees. Machine Learning 1 1 (1986) 81-106
12. Reinschmidt J., Gottschalk H., Kim H., and Zwietering D. Intelligent miner for data: Enhance your business intelligence (1999), IBM International Technical Support Organization
13. VanBoxel A. Improving the triage process. Journal of Emergency Nursing 21 4 (1995) 332-334
14. Ward J.E. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 59 (1963) 236-244
15. Weiner E.R., and Edwards H.R. Changing patterns in hospital emergency services. Hospital 38 1 (1964) 55-62
16. Yang B.S., Lim D.S., and Tan A.C.C. VIBEX: An expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table. Expert Systems with Applications 28 (2005) 735-742