✦ LIBER ✦
Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell lung carcinoma
✍ Scribed by Miles F. Jefferson; Neil Pendleton; Sam B. Lucas; Michael A. Horan
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 86 KB
- Volume
- 79
- Category
- Article
- ISSN
- 0008-543X
No coin nor oath required. For personal study only.
✦ Synopsis
of surgery in 620 patients with nonsmall cell lung carcinoma (NSCLC) by a genetic algorithm neural network (GANN) using Bayes' theorem compared with logistic 1 Department of Geriatric Medicine, Clinical Sciregression, and the predictive value of tumor volume measures in addition to ences Building, Hope Hospital, Salford, United standard indices such as histologic type and stage. Predictive methods were com-Kingdom.
pared by examining accuracy of classifying target outcome of patients living or