Using classification tree and logistic regression methods to diagnose myocardial infarction

Studies in Health Technology and Informatics

Volumn 52, Issue , 1998, Pages 493-497

  Tsien, Christine L ^a,b   Fraser, Hamish S F ^a,c   Long, William J ^a   Kennedy, R Lee ^d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c TUFTS MEDICAL CENTER   (United States)

^d SUNDERLAND ROYAL HOSPITAL   (United Kingdom)

Author keywords

Classification Trees; Decision Trees; Logistic Regression; Machine Learning; Myocardial Infarction

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DECISION SUPPORT SYSTEMS; DECISION TREES; LEARNING SYSTEMS; REGRESSION ANALYSIS;

CLASSIFICATION TREES; DIAGNOSIS OF MYOCARDIAL INFARCTION; EMERGENCY MEDICINE; LOGISTIC REGRESSION METHOD; LOGISTIC REGRESSIONS; MACHINE LEARNING TECHNIQUES; MYOCARDIAL INFARCTION; TRAINING DATA;

TREES (MATHEMATICS);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DECISION TREE; EMERGENCY MEDICINE; EVALUATION; HEART INFARCTION; HUMAN; ROC CURVE; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; EMERGENCY MEDICINE; EVALUATION STUDIES; HUMANS; LOGISTIC MODELS; MYOCARDIAL INFARCTION; ROC CURVE;

EID: 79958144748     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-896-0-493     Document Type: Conference Paper

References (8)

1. Goldman L, Weinberg M, Weisberg M, Olshen R, Cook E, Sargent R, Lamas G, Dennis C, Wilson C, Deckelbaum L, Fineberg H, Stiratelli R.A computer-derived protocol to aid in The diagnosis of emergency room patients with acute chest pain.N Engl J Med 1982; (307): 588-596.
2. Kennedy RL, Burton AM, Fraser HS, McStay LN, Harrison RF.Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models.EHJ 1996; (17): 1181-1191.
3. Long WJ, Griffith JL, Selker HP, and DAgostino RB.A comparison of logistic regression to decision-tree induction in A medical domain.Comput BiomedRes 1993; (26): 74-97.
4. Selker HP, Griffith JL, Patil S, Long WJ, DAgostino RB.A comparison of performance of mathematical predictive methods for medical diagnosis: identifying acute cardiac ischemia among emergency department patients.Journal of Investigative Medicine 1995; (43): 468-476.
5. Baxt WG.Use of an artificial neural network for The diagnosis of myocardial infarction.Annals of Internal Medicine 1991; 115:843-848.
6. Jonsbu J, Aase O, Rollag A, Liestol K, Erikssen J.Prospective evaluation of an EDB-based diagnostic program to be used in patients admitted to hospital with acute chest pain.EHJ 1993; 14:441-6.
7. Quinlan JR.C4.5 Programs for machine learning.San Mateo: Morgan Kaufmann Publishers, 1993.
8. Hanley JA, McNeil BJ.The meaning and use of The area under A receiver operating characteristic (ROC) curve.Radiology 1982; (143): 29-36.