Lo Sasso, A. and Bellantuono, L. and Manetta, R. and Gazzerro, A. and Di Filippo, R. (2024) Artificial intelligence algorithms for prostate cancer prediction by breath analysis. Il nuovo cimento C, 47 (5). pp. 1-4. ISSN 1826-9885
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Abstract
Breath analysis is emerging as a promising screening technique. Analysis of volatile organic compounds by artificial intelligence can lead to an early warning bell by noninvasive screening. In this work, we analyze volatile organic compounds from patients who had undergone a prostate cancer exam. We expose a computational methodology to discriminate suspected and full-blown patients. We adopt a sample selection and use oversampling to train a neural network based on a Multi-Layer Perceptron in order to predict real data and simulate performances on further patients undergoing prostate cancer screening.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 23 Jan 2025 14:23 |
| Last Modified: | 23 Jan 2025 14:23 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23332 |
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