Abstract
This paper details research towards the optimal placement of a novelrobotic device for the detection and treatment of prostate cancer, via biopsy andbrachytherapy respectively. A methodology for analysis of available data inorder to determine geographical areas with relatively high prevalence of prostatecancer and low access to treatment is proposed. Areas in the South of the UKwith high values of these indices are highlighted. The development of single andmultiple criteria optimization models based on the new metric in order tooptimally locate a small number of future prototype treatment devices is dis-cussed. Discussions, conclusions and avenues for future research are given.
| Original language | English |
|---|---|
| Title of host publication | XV Mediterranean Conference on Medical and Biological Engineering and Computing - MEDICON 2019 |
| Subtitle of host publication | Proceedings of MEDICON 2019 |
| Editors | Jorge Henriques, Nuno Neves, Paulo de Carvalho |
| Publisher | Springer |
| Chapter | 158 |
| Pages | 1291-1295 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-3-030-31635-8 |
| ISBN (Print) | 978-3-030-31634-1 |
| DOIs | |
| Publication status | Published - 25 Sept 2019 |
| Event | MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing - Coimbra, Portugal Duration: 26 Sept 2019 → 28 Sept 2019 |
Publication series
| Name | IFMBE Proceedings |
|---|---|
| Publisher | Springer |
| Volume | 76 |
| ISSN (Print) | 1680-0737 |
| ISSN (Electronic) | 1433-9277 |
Conference
| Conference | MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing |
|---|---|
| Country/Territory | Portugal |
| City | Coimbra |
| Period | 26/09/19 → 28/09/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Healthcare technologies
- Cancer detection and treatment
- Optimization
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