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https://hdl.handle.net/10216/135732| Author(s): | Alexandra Costa Ventura |
| Title: | Ensemble Methods for Lung Cancer Gene Mutation Prediction |
| Issue Date: | 2021-07-23 |
| Description: | Previous results from the project "Lung Cancer Screening - A non-invasive methodology for early diagnosis" and literature suggest that the most relevant information to predict the mutation status in lung cancer might be the combination of features from the nodule and other lung structures. Quantitative features extracted from cancer nodules have been used to create predictive models for gene mutation status and screening. Novel ensemble methods will be developed in order to use quantitative features from external structures to the nodule with traditional features from the nodule. The combination of relevant information by the learning models should improve the accuracy of diagnosis. |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/mskt-6f35 |
| TID identifier: | 202816850 |
| URI: | https://hdl.handle.net/10216/135732 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 488560.pdf | Ensemble Methods for Lung Cancer Gene Mutation Prediction | 7.92 MB | Adobe PDF |  View/Open |
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