Amin Abedini, Honghan Ye & Wei Li (2016):
Operating Room Planning under Surgery Type and Priority Constraints.
Procedia Manufacturing 5,
pp. 15–25,
doi:10.1016/j.promfg.2016.08.005.
Mario Alviano, Riccardo Bertolucci, Matteo Cardellini, Carmine Dodaro, Giuseppe Galatà, Muhammad Kamran Khan, Marco Maratea, Marco Mochi, Victoria Morozan, Ivan Porro & Marco Schouten (2020):
Answer Set Programming in Healthcare: Extended Overview.
In: IPS and RCRA 2020,
CEUR Workshop Proceedings 2745.
CEUR-WS.org.
Available at http://ceur-ws.org/Vol-2745/paper7.pdf.
Roberto Aringhieri, Paolo Landa, Patrick Soriano, Elena Tànfani & Angela Testi (2015):
A two level metaheuristic for the operating room scheduling and assignment problem.
Computers & Operations Research 54,
pp. 21–34,
doi:10.1016/j.cor.2014.08.014.
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila & Francisco Herrera (2020):
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Information Fusion 58,
pp. 82–115,
doi:10.1016/j.inffus.2019.12.012.
Available at https://www.sciencedirect.com/science/article/pii/S1566253519308103.
Riccardo Bertolucci, Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Ivan Porro & Francesco Ricca (2021):
Explaining ASP-based Operating Room Schedules.
In: Riccardo De Benedictis, Marco Maratea, Andrea Micheli, Enrico Scala, Ivan Serina, Mauro Vallati & Alessandro Umbrico: Proceedings of the 9th Italian workshop on Planning and Scheduling (IPS'21) and the 28th International Workshop on "Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion" (RCRA'21) with CEUR-WS co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), Milan, Italy (virtual), November 29th-30th, 2021,
CEUR Workshop Proceedings 3065.
CEUR-WS.org.
Available at http://ceur-ws.org/Vol-3065/paper7_182.pdf.
Pedro Cabalar, Jorge Fandinno & Michael Fink (2014):
Causal Graph Justifications of Logic Programs.
CoRR abs/1409.7281,
doi:10.48550/arXiv.1409.7281.
ArXiv:1409.7281.
Simone Caruso, Giuseppe Galatà, Marco Maratea, Marco Mochi & Ivan Porro (2021):
Scheduling Pre-Operative Assessment Clinic via Answer Set Programming.
In: Riccardo De Benedictis, Marco Maratea, Andrea Micheli, Enrico Scala, Ivan Serina, Mauro Vallati & Alessandro Umbrico: Proceedings of the 9th Italian workshop on Planning and Scheduling (IPS'21) and the 28th International Workshop on "Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion" (RCRA'21) with CEUR-WS co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), Milan, Italy (virtual), November 29th-30th, 2021,
CEUR Workshop Proceedings 3065.
CEUR-WS.org.
Available at http://ceur-ws.org/Vol-3065/paper3_196.pdf.
Carmine Dodaro, Giuseppe Galatà, Andrea Grioni, Marco Maratea, Marco Mochi & Ivan Porro (2021):
An ASP-based Solution to the Chemotherapy Treatment Scheduling problem.
Theory and Practice of Logic Programming,
pp. 1–17,
doi:10.1017/S1471068421000363.
Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Marco Mochi & Ivan Porro (2020):
Chemotherapy Treatment Scheduling via Answer Set Programming.
In: CILC 2020,
CEUR Workshop Proceedings 2710.
CEUR-WS.org,
pp. 342–356.
Available at http://ceur-ws.org/Vol-2710/paper22.pdf.
Carmine Dodaro, Giuseppe Galatà, Marco Maratea & Ivan Porro (2018):
Operating Room Scheduling via Answer Set Programming.
In: AI*IA,
LNCS 11298.
Springer,
pp. 445–459,
doi:10.1007/978-3-030-03840-3_33.
Carmine Dodaro, Philip Gasteiger, Kristian Reale, Francesco Ricca & Konstantin Schekotihin (2018):
Debugging Non-Ground ASP Programs: Technique and Graphical Tools.
CoRR abs/1808.00417,
doi:10.48550/arXiv.1808.00417.
ArXiv:1808.00417.
Giuseppe Galatà, Marco Maratea, Marco Mochi, Victoria Morozan & Ivan Porro (2021):
An ASP-based solution to the Operating Room Scheduling with care units.
In: Riccardo De Benedictis, Marco Maratea, Andrea Micheli, Enrico Scala, Ivan Serina, Mauro Vallati & Alessandro Umbrico: Proceedings of the 9th Italian workshop on Planning and Scheduling (IPS'21) and the 28th International Workshop on "Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion" (RCRA'21) with CEUR-WS co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), Milan, Italy (virtual), November 29th-30th, 2021,
CEUR Workshop Proceedings 3065.
CEUR-WS.org.
Available at http://ceur-ws.org/Vol-3065/paper8_183.pdf.
Martin Gebser, Jörg Pührer, Torsten Schaub & Hans Tompits (2008):
A Meta-Programming Technique for Debugging Answer-Set Programs.
In: Dieter Fox & Carla P. Gomes: Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008.
AAAI Press,
pp. 448–453.
Available at http://www.aaai.org/Library/AAAI/2008/aaai08-071.php.
David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf & Guang-Zhong Yang (2019):
XAI—Explainable artificial intelligence.
Science Robotics 4(37),
pp. eaay7120,
doi:10.1126/scirobotics.aay7120.
Shoshana Hahn-Goldberg, Michael W. Carter, J. Christopher Beck, Maureen Trudeau, Philomena Sousa & Kathy Beattie (2014):
Dynamic optimization of chemotherapy outpatient scheduling with uncertainty.
Health Care Management Science 17(4),
pp. 379–392,
doi:10.1007/s10729-014-9268-0.
Yu-Li Huang, Alan H. Bryce, Tracy Culbertson, Sarah L. Connor & Sherry A. et al. Looker (2017):
Alternative Outpatient Chemotherapy Scheduling Method to Improve Patient Service Quality and Nurse Satisfaction.
Journal of Oncology Practice 14(2),
pp. 82–91,
doi:10.1200/jop.2017.025510.
Anali Huggins, David Claudio & Eduardo Pérez (2014):
Improving Resource Utilization in a Cancer Clinic: An Optimization Model.
In: IIE Annual Conference and Expo 2014.
Divyesh Kumar & Treshita Dey (2020):
Treatment delays in oncology patients during COVID-19 pandemic: A perspective.
Journal of Global Health 10(1),
doi:10.7189/jogh.10.010367.
International Society of Global Health.
Guillaume Lamé, Oualid Jouini & Julie Cardinal (2016):
Outpatient Chemotherapy Planning: a Literature Review with Insights from a Case Study.
IIE Transactions on Healthcare Systems Engineering 6(3),
pp. 127–139,
doi:10.1080/19488300.2016.1189469.
Paolo Landa, Roberto Aringhieri, Patrick Soriano, Elena Tànfani & Angela Testi (2016):
A hybrid optimization algorithm for surgeries scheduling.
Operations Research for Health Care 8,
pp. 103–114,
doi:10.1016/j.orhc.2016.01.001.
Tim Miller (2017):
Explanation in Artificial Intelligence: Insights from the Social Sciences.
CoRR abs/1706.07269,
doi:10.48550/arXiv.1706.07269.
ArXiv:1706.07269.
Brent D. Mittelstadt, Chris Russell & Sandra Wachter (2018):
Explaining Explanations in AI.
CoRR abs/1811.01439,
doi:10.48550/arXiv.1811.01439.
ArXiv:1811.01439.
Jose M. Molina-Pariente, Erwin W. Hans, Jose M. Framinan & Tomas Gomez-Cia (2015):
New heuristics for planning operating rooms.
Computers & Industrial Engineering 90,
pp. 429–443,
doi:10.1016/j.cie.2015.10.002.
Suleyman Sevinc, Ulus Ali Sanli & Erdem Goker (2013):
Algorithms for scheduling of chemotherapy plans.
Computers in Biology and Medicine 43(12),
pp. 2103–2109,
doi:10.1016/j.compbiomed.2013.10.012.
A. Sud, M. E. Jones, J. Broggio, C. Loveday & B. et al. Torr (2020):
Collateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic.
Annals of Oncology 31(8),
pp. 1065–1074,
doi:10.1016/j.annonc.2020.05.009.
Elsevier.