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  • Search: subject:"chemotherapy scheduling"
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Year of publication
Subject
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Chemotherapy scheduling 6 Scheduling problem 6 Scheduling-Verfahren 6 Theorie 5 Theory 5 Mathematical programming 4 Mathematische Optimierung 4 Hospital 3 Krankenhaus 3 Patienten 3 Patients 3 Stochastic process 3 Stochastischer Prozess 3 Approximate dynamic programming 2 Dynamic programming 2 Dynamische Optimierung 2 Gesundheitsversorgung 2 Gesundheitswesen 2 Health care 2 Health care system 2 Markov chain 2 Markov decision processes 2 Markov-Kette 2 OR in health services 2 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Ganzzahlige Optimierung 1 Integer programming 1 Künstliche Intelligenz 1 Machine learning 1 Mean-risk stochastic programming 1 Multi-appointment 1 No show 1 Oncology clinics 1 Optimization 1 Outpatient scheduling 1 Patient acuity 1 Patient service 1 Simulation 1
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Online availability
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Undetermined 4 Free 2 CC license 1
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6
Language
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English 6 Undetermined 1
Author
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Gocgun, Yasin 2 Alvarado, Michelle 1 Bhuiyan, Nadia 1 Cataldo, Alejandro 1 Contreras, Ivan 1 Doulabi, Hossein Hashemi 1 Gul, Serhat 1 Haghi, Maryam 1 Han, Ying 1 Johnson, Marina Evrim 1 Karakaya, Sırma 1 Khasawneh, Mohammad 1 Ntaimo, Lewis 1 Puterman, Martin 1 Puterman, Martin L. 1 Rey, Pablo A. 1 Sauré, Antoine 1 Shan, Xiaojun 1 Sánchez, César 1 Wenzel, Arturo 1 Çelik, Melih 1
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Published in...
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Health care management science 2 Decision analytics journal 1 European journal of operational research : EJOR 1 Health Care Management Science 1 International journal of production research 1 Journal of the Operational Research Society 1
Source
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ECONIS (ZBW) 6 RePEc 1
Showing 1 - 7 of 7
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A multi-appointment patient scheduling system with machine learning and optimization
Han, Ying; Johnson, Marina Evrim; Shan, Xiaojun; … - In: Decision analytics journal 10 (2024), pp. 1-16
Appointment scheduling is critical to increasing resource utilization and operational performance in various industry domains, especially healthcare. Costs to care for several serious diseases are projected to grow due to the aging population and rising drug prices. Thus, there is an urgent need...
Persistent link: https://www.econbiz.de/10014541622
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Integrated consultation and chemotherapy scheduling with stochastic treatment times
Haghi, Maryam; Doulabi, Hossein Hashemi; Contreras, Ivan; … - In: Journal of the Operational Research Society 74 (2023) 9, pp. 2012-2027
Persistent link: https://www.econbiz.de/10014336439
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An approximate dynamic programming approach to network-based scheduling of chemotherapy treatment sessions
Wenzel, Arturo; Sauré, Antoine; Cataldo, Alejandro; … - In: International journal of production research 62 (2024) 12, pp. 4314-4330
Persistent link: https://www.econbiz.de/10014547291
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Stochastic scheduling of chemotherapy appointments considering patient acuity levels
Karakaya, Sırma; Gul, Serhat; Çelik, Melih - In: European journal of operational research : EJOR 305 (2023) 2, pp. 902-916
Persistent link: https://www.econbiz.de/10013479348
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Chemotherapy appointment scheduling under uncertainty using mean-risk stochastic integer programming
Alvarado, Michelle; Ntaimo, Lewis - In: Health care management science 21 (2018) 1, pp. 87-104
Persistent link: https://www.econbiz.de/10011800577
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Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking
Gocgun, Yasin; Puterman, Martin - In: Health Care Management Science 17 (2014) 1, pp. 60-76
treatment specific time window. This research is motivated by a study of chemotherapy scheduling practices at the British … easy-to-use heuristic performs well in the idealized chemotherapy scheduling setting we study. Copyright Springer Science …
Persistent link: https://www.econbiz.de/10010865031
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Dynamic scheduling with due dates and time windows : an application to chemotherapy patient appointment booking
Gocgun, Yasin; Puterman, Martin L. - In: Health care management science 17 (2014) 1, pp. 60-76
Persistent link: https://www.econbiz.de/10010357254
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