Abstract
This paper presents an application of multi-layered neural networks to occupational epidemiology for the Pulp and Paper industry. Various architectures of Feedforward Networks with and without hidden layers have been tested to examine the relationships between occupational exposure and cancer. The inputs to the networks consist of chemical exposures derived from epidemiological studies. The outputs are the cancer types of the patients. The results of the classification performances demonstrate that an appropriate network architecture with some pre-processing of the exposures might lead to more efficient results.
Original language | English |
---|---|
Title of host publication | IEEE Pac Rim Conf Commun Comput Signal Process |
Publisher | Publ by IEEE |
Pages | 296-300 |
Number of pages | 5 |
ISBN (Print) | 0780312198 |
Publication status | Published - 1 Jan 1993 |
Externally published | Yes |
Event | Proceedings of the IEEE 1993 Pacific Rim Conference on Communications, Computers and Signal Processing - Victoria, BC, Canada Duration: 19 May 1993 → 21 May 1993 |
Conference
Conference | Proceedings of the IEEE 1993 Pacific Rim Conference on Communications, Computers and Signal Processing |
---|---|
Country/Territory | Canada |
City | Victoria, BC |
Period | 19/05/93 → 21/05/93 |
ASJC Scopus subject areas
- General Engineering