# An ASP-based Solution to the Chemotherapy Treatment Scheduling problem

arXiv: https://arxiv.org/abs/2108.02637 · HTML: https://mlsanity.com/paper/2108.02637/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 31 references that are in the map.
- First posted on arXiv 5 Aug 2021.

## Builds on (most cited first, 2 of 2)

- [ASP-Core-2 Input Language Format](https://mlsanity.com/paper/1911.04326/) (2019)
- [Routing Driverless Transport Vehicles in Car Assembly with Answer Set Programming](https://mlsanity.com/paper/1804.10437/) (2018)

## Built on by (most cited first, 9 of 9)

- [Logic programming for deliberative robotic task planning](https://mlsanity.com/paper/2301.07550/) (2023)
- [CNL2ASP: converting controlled natural language sentences into ASP](https://mlsanity.com/paper/2311.10505/) (2023)
- [Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling](https://mlsanity.com/paper/2205.07537/) (2022)
- [Logic-Based Benders Decomposition in Answer Set Programming for Chronic Outpatients Scheduling](https://mlsanity.com/paper/2305.11969/) (2023)
- [An ASP Framework for Efficient Urban Traffic Optimization](https://mlsanity.com/paper/2208.03097/) (2022)
- [Planning and Scheduling in Digital Health with Answer Set Programming](https://mlsanity.com/paper/2208.03099/) (2022)
- [System Predictor: Grounding Size Estimator for Logic Programs under Answer Set Semantics](https://mlsanity.com/paper/2303.17018/) (2023)
- [Hybrid ASP-based multi-objective scheduling of semiconductor manufacturing processes (Extended version)](https://mlsanity.com/paper/2307.14799/) (2023)
- [Declarative Problem Solving in UAM Strategic Deconfliction](https://mlsanity.com/paper/2607.21197/) (2026)

## Abstract (arXiv)

The problem of scheduling chemotherapy treatments in oncology clinics is a complex problem, given that the solution has to satisfy (as much as possible) several requirements such as the cyclic nature of chemotherapy treatment plans, maintaining a constant number of patients, and the availability of resources, e.g., treatment time, nurses, and drugs. At the same time, realizing a satisfying schedule is of upmost importance for obtaining the best health outcomes. In this paper we first consider a specific instance of the problem which is employed in the San Martino Hospital in Genova, Italy, and present a solution to the problem based on Answer Set Programming (ASP). Then, we enrich the problem and the related ASP encoding considering further features often employed in other hospitals, desirable also in S. Martino, and/or considered in related papers. Results of an experimental analysis, conducted on the real data provided by the San Martino Hospital, show that ASP is an effective solving methodology also for this important scheduling problem. Under consideration for acceptance in TPLP.