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Pattern-Based Online Algorithms for a General Patient-Centred Radiotherapy Scheduling Problem

Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
A radiotherapy treatment consists in a given number of radiation sessions, one for each (working) day, which should start before a given due date. Patients are usually classified into classes of urgency having different deadlines and number of sessions. Waiting time is the main critical issue in the management of a radiotherapy health system. After deriving a general problem statement from the case studies reported in the literature, we present three online optimisation algorithms that try to exploit the particular structure of the solution, and we compare their results with two baseline online algorithms.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Online algorithm, Radiotherapy, Scheduling
Elenco autori:
Aringhieri, R.; Duma, D.; Squillace, G.
Autori di Ateneo:
DUMA DAVIDE
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1440736
Titolo del libro:
Springer Proceedings in Mathematics and Statistics
Pubblicato in:
SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS
Journal
SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS
Series
  • Dati Generali

Dati Generali

URL

https://link.springer.com/chapter/10.1007/978-3-030-39694-7_20
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