"Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery" by Milo Engoren

Article

Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery

Journal of Clinical Monitoring and Computing (2013)

Milo Engoren, University of Michigan
Robert H. Habib, American University of Beirut
John J. Dooner, Mercy St. Vincent Medical Center
Thomas A. Schwann, University of Toledo

Link

Disciplines

Medicine and Health Sciences and
Statistics and Probability

Publication Date

August 1, 2013

DOI

10.1007/s10877-013-9444-7

Citation Information

Milo Engoren, Robert H. Habib, John J. Dooner and Thomas A. Schwann. "Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery" Journal of Clinical Monitoring and Computing Vol. 27 Iss. 4 (2013) p. 455 - 464
Available at: http://works.bepress.com/thomas-schwann/62/