References

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Anali Huggins, David Claudio & Eduardo Pérez (2014): Improving Resource Utilization in a Cancer Clinic: An Optimization Model. In: IIE Annual Conference and Expo 2014.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.

Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org