Preface: advances of machine learning and optimization in healthcare systems and medicine.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 1, doi. 10.1007/s10479-023-05510-3
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Works matching IS 02545330 AND DT 2023 AND VI 328 AND IP 1
Results: 33
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Development of a new personalized staff-scheduling method with a work-life balance perspective: case of a hospital.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 793, doi. 10.1007/s10479-023-05244-2
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- Article
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A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 617, doi. 10.1007/s10479-022-05151-y
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- Article
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Diabetic patient review helpfulness: unpacking online drug treatment reviews by text analytics and design science approach.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 387, doi. 10.1007/s10479-022-05121-4
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5
A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 727, doi. 10.1007/s10479-023-05395-2
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- Article
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An efficient healthcare chain design for resolving the patient scheduling problem: queuing theory and MILP-ASA optimization approach.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 3, doi. 10.1007/s10479-023-05287-5
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7
Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 1073, doi. 10.1007/s10479-022-04955-2
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8
Resilient and social health service network design to reduce the effect of COVID-19 outbreak.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 903, doi. 10.1007/s10479-023-05363-w
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9
Deep learning and hyperparameter optimization for assessing one's eligibility for a subcutaneous implantable cardioverter-defibrillator.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 309, doi. 10.1007/s10479-023-05326-1
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10
A data-driven optimization model to response to COVID-19 pandemic: a case study.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 337, doi. 10.1007/s10479-023-05320-7
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11
Data-driven analysis of influence between radiologists for diagnosis of breast lesions.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 419, doi. 10.1007/s10479-022-05086-4
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12
Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 107, doi. 10.1007/s10479-022-05020-8
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13
National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 1151, doi. 10.1007/s10479-022-05016-4
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14
Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 1043, doi. 10.1007/s10479-022-04984-x
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15
An ensemble method of the machine learning to prognosticate the gastric cancer.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 151, doi. 10.1007/s10479-022-04964-1
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Minimizing patients total clinical condition deterioration in operating theatre departments.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 821, doi. 10.1007/s10479-022-05046-y
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17
Viable healthcare supply chain network design for a pandemic.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 35, doi. 10.1007/s10479-022-04934-7
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18
Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 665, doi. 10.1007/s10479-022-04933-8
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19
Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 859, doi. 10.1007/s10479-022-04930-x
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20
A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 245, doi. 10.1007/s10479-022-04926-7
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21
EEG signal classification via pinball universum twin support vector machine.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 451, doi. 10.1007/s10479-022-04922-x
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22
A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 577, doi. 10.1007/s10479-022-04914-x
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23
A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 75, doi. 10.1007/s10479-022-04906-x
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24
Data analytics during pandemics: a transportation and location planning perspective.
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- 2023
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- Literature Review
25
A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 493, doi. 10.1007/s10479-022-04829-7
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Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 1105, doi. 10.1007/s10479-022-04822-0
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27
A multi-objective location-routing model for dental waste considering environmental factors.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 755, doi. 10.1007/s10479-022-04794-1
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28
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 1021, doi. 10.1007/s10479-022-04755-8
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29
Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 531, doi. 10.1007/s10479-022-04713-4
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30
Stochastic weekly operating room planning with an exponential number of scenarios.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 643, doi. 10.1007/s10479-022-04686-4
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31
A flexible robust model for blood supply chain network design problem.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 701, doi. 10.1007/s10479-022-04673-9
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32
Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 977, doi. 10.1007/s10479-022-04529-2
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33
Prioritization of healthcare systems during pandemics using Cronbach's measure based fuzzy WASPAS approach.
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- Annals of Operations Research, 2023, v. 328, n. 1, p. 279, doi. 10.1007/s10479-022-04714-3
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- Article