Comparison of proportional Hazard model and neural network models in a real data set of intensive care unit patients

Studies in Health Technology and Informatics

Volumn 107, Issue , 2004, Pages 741-745

  Suka, MacHi ^a   Oeda, Shinichi ^b   Ichimura, Takumi ^c   Yoshida, Katsumi ^a   Takezawa, Jun ^d  

^a ST MARIANNA UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^b TOKYO METROPOLITAN UNIVERSITY   (Japan)

^c HIROSHIMA CITY UNIVERSITY   (Japan)

^d NAGOYA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

Comparative study; Neural network models; Prognosis; Proportional hazard models; Survival analysis

Indexed keywords

HAZARDS; INTENSIVE CARE UNITS; CLASSIFICATION (OF INFORMATION); DIAGNOSIS;

COMPARATIVE STUDIES; NEURAL NETWORK MODEL; PROGNOSIS; PROPORTIONAL HAZARD MODELS; SURVIVAL ANALYSIS; COMPARATIVES STUDIES; MULTIPLE POINTS; POINT MODELS; PREDICTIVE ACCURACY; PROGNOSE; REAL DATA SETS; SINGLE POINT;

DIAGNOSIS; NEURAL NETWORK MODELS;

ADULT; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; CONFERENCE PAPER; CONTROLLED STUDY; HUMAN; INTENSIVE CARE UNIT; PROGNOSIS; SURVIVAL ANALYSIS;

EID: 49649109231     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-949-3-741     Document Type: Article

References (14)

1. Justice AC, Covinsky JE, Berlin JA. Assessing the general-izability of prognostic information. Ann Intern Med 1999;130:515-524.
2. Cox DR. Regression models and life-tables. J Royal Stat Soc Series B 1972; 34: 187-220.
3. Penny W, Frost D. Neural networks in clinical medicine. Med Decis Making 1996;16:386-398.
4. Lucas PJ, Abu-Hanna A. Prognostic methods in medicine. ArtiflntellMed 1999;15:105-119.
5. The 2003 Report of Health and Labour Sciences Research Grant (Research on Emergent or Revival Infections), "Research on network of drug-resistant infection surveillance", 2003. (in Japanese)
6. Sakakibara Y, Takezawa J. Report of the Japan Nosocomial Infection Surveillance, ICU division. Infection Control 2002; 11: 530-536. (in Japanese)
7. Takezawa J. Surveillance system for nosocomial infections due to drug-resistant organisms in Japan and other countries. Nippon Rinsho 2001;59:126-134. (in Japanese)
8. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818-829.
9. Ohno-Machado L. Modeling medical prognosis: survival analysis technique. J Biomed Inform 2001;34:428-439.
10. Rumelhart DE, Hinton GE, Williams RJ. Learning representations by back-propagation errors. Nature 1986;323:533-536.
11. Lavrac N. Selected techniques for data mining in medicine. ArtiflntellMed 1999;16:3-23.
12. Hanley JA, MaNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143:29-36.
13. Harrell FE Jr, Callif RM, Pryor DB, Lee KL, Rosati RA. Evaluating the yield of medical tests. JAMA 1982;247:2543-2546.
14. Tu JV. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996;49:1225-1231.