التفاصيل البيبلوغرافية
| العنوان: |
Solving Rehabilitation Scheduling Problems via a Two-Phase ASP Approach. |
| المؤلفون: |
CARDELLINI, MATTEO, DE NARDI, PAOLO, DODARO, CARMINE, GALATÀ, GIUSEPPE, GIARDINI, ANNA, MARATEA, MARCO, PORRO, IVAN |
| المصدر: |
Theory & Practice of Logic Programming; Mar2024, Vol. 24 Issue 2, p344-367, 24p |
| مصطلحات موضوعية: |
REHABILITATION, PATIENT preferences, SCHEDULING, COVID-19 pandemic, TRANSCRANIAL direct current stimulation, PROBLEM solving |
| مستخلص: |
A core part of the rehabilitation scheduling process consists of planning rehabilitation physiotherapy sessions for patients, by assigning proper operators to them in a certain time slot of a given day, taking into account several legal, medical, and ethical requirements and optimizations, for example, patient's preferences and operator's work balancing. Being able to efficiently solve such problem is of upmost importance, in particular after the COVID-19 pandemic that significantly increased rehabilitation's needs. In this paper, we present a two-phase solution to rehabilitation scheduling based on Answer Set Programming, which proved to be an effective tool for solving practical scheduling problems. We first present a general encoding and then add domain-specific optimizations. Results of experiments performed on both synthetic and real benchmarks, the latter provided by ICS Maugeri, show the effectiveness of our solution as well as the impact of our domain-specific optimizations. [ABSTRACT FROM AUTHOR] |
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