| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A data-driven optimization model to response to COVID-19 pandemic: a case study
|
Eshkiti, Amin
|
|
|
328 |
1 |
p. 337-386
|
article
|
| 2 |
A flexible robust model for blood supply chain network design problem
|
Khalilpourazari, Soheyl
|
|
|
328 |
1 |
p. 701-726
|
article
|
| 3 |
A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition
|
Goswami, Mohit
|
|
|
328 |
1 |
p. 577-616
|
article
|
| 4 |
A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks
|
Kianfar, Kamran
|
|
|
328 |
1 |
p. 727-754
|
article
|
| 5 |
A multi-objective location-routing model for dental waste considering environmental factors
|
Kordi, Ghazale
|
|
|
328 |
1 |
p. 755-792
|
article
|
| 6 |
An efficient healthcare chain design for resolving the patient scheduling problem: queuing theory and MILP-ASA optimization approach
|
Ala, Ali
|
|
|
328 |
1 |
p. 3-33
|
article
|
| 7 |
An ensemble method of the machine learning to prognosticate the gastric cancer
|
Baradaran Rezaei, Hirad
|
|
|
328 |
1 |
p. 151-192
|
article
|
| 8 |
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
|
Gülmez, Burak
|
|
|
328 |
1 |
p. 617-641
|
article
|
| 9 |
A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty
|
Goli, Alireza
|
|
|
328 |
1 |
p. 493-530
|
article
|
| 10 |
A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization
|
Bushaj, Sabah
|
|
|
328 |
1 |
p. 245-277
|
article
|
| 11 |
A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines
|
Andoh, Eugenia Ama
|
|
|
328 |
1 |
p. 75-105
|
article
|
| 12 |
Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations
|
Sariyer, Görkem
|
|
|
328 |
1 |
p. 1073-1103
|
article
|
| 13 |
Data analytics during pandemics: a transportation and location planning perspective
|
Bozkaya, Elif
|
|
|
328 |
1 |
p. 193-244
|
article
|
| 14 |
Data-driven analysis of influence between radiologists for diagnosis of breast lesions
|
Fu, Chao
|
|
|
328 |
1 |
p. 419-449
|
article
|
| 15 |
Deep learning and hyperparameter optimization for assessing one’s eligibility for a subcutaneous implantable cardioverter-defibrillator
|
Dunn, Anthony J.
|
|
|
328 |
1 |
p. 309-335
|
article
|
| 16 |
Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions
|
Goodarzian, Fariba
|
|
|
328 |
1 |
p. 531-575
|
article
|
| 17 |
Development of a new personalized staff-scheduling method with a work-life balance perspective: case of a hospital
|
Koruca, Halil İbrahim
|
|
|
328 |
1 |
p. 793-820
|
article
|
| 18 |
Diabetic patient review helpfulness: unpacking online drug treatment reviews by text analytics and design science approach
|
Feng, Yi
|
|
|
328 |
1 |
p. 387-418
|
article
|
| 19 |
EEG signal classification via pinball universum twin support vector machine
|
Ganaie, M. A.
|
|
|
328 |
1 |
p. 451-492
|
article
|
| 20 |
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
|
Simic, Vladimir
|
|
|
328 |
1 |
p. 1105-1150
|
article
|
| 21 |
Minimizing patients total clinical condition deterioration in operating theatre departments
|
Mashkani, Omolbanin
|
|
|
328 |
1 |
p. 821-857
|
article
|
| 22 |
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
|
Ranjbarzadeh, Ramin
|
|
|
328 |
1 |
p. 1021-1042
|
article
|
| 23 |
National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view
|
Yang, Chih-Hao
|
|
|
328 |
1 |
p. 1151-1179
|
article
|
| 24 |
Preface: advances of machine learning and optimization in healthcare systems and medicine
|
Weber, Gerhard-Wilhelm
|
|
|
328 |
1 |
p. 1-2
|
article
|
| 25 |
Prioritization of healthcare systems during pandemics using Cronbach’s measure based fuzzy WASPAS approach
|
Deveci, Muhammet
|
|
|
328 |
1 |
p. 279-307
|
article
|
| 26 |
Resilient and social health service network design to reduce the effect of COVID-19 outbreak
|
Hosseini-Motlagh, Seyyed-Mahdi
|
|
|
328 |
1 |
p. 903-975
|
article
|
| 27 |
Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply
|
Momenitabar, Mohsen
|
|
|
328 |
1 |
p. 859-901
|
article
|
| 28 |
Stochastic weekly operating room planning with an exponential number of scenarios
|
Hashemi Doulabi, Hossein
|
|
|
328 |
1 |
p. 643-664
|
article
|
| 29 |
Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach
|
Pamucar, Dragan
|
|
|
328 |
1 |
p. 977-1019
|
article
|
| 30 |
Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis
|
Karimi, Kamyab
|
|
|
328 |
1 |
p. 665-700
|
article
|
| 31 |
Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients
|
Saadatmand, Sara
|
|
|
328 |
1 |
p. 1043-1071
|
article
|
| 32 |
Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic
|
Azadi, Majid
|
|
|
328 |
1 |
p. 107-150
|
article
|
| 33 |
Viable healthcare supply chain network design for a pandemic
|
Alizadeh, Mehdi
|
|
|
328 |
1 |
p. 35-73
|
article
|
Journal description