Efficiency in university hospitals: A genetic optimized semi-parametric production function
Tài liệu tham khảo
Abreu, 2020, A genetic algorithm for scheduling open shops with sequence-dependent setup times, Comput Oper Res, 113, 10.1016/j.cor.2019.104793
Adabor, 2017, A genetic algorithm on optimization test functions, Int J Mod Eng Res, 7, 1
Ancarani, 2009, The impact of managerial and organizational aspects on hospital wards’ efficiency: evidence from a case study, Eur J Oper Res, 194, 280, 10.1016/j.ejor.2007.11.046
Araujo, 2018, A performance analysis of Brazilian public health: TOPSIS and neural networks application, Int J Product Perform Manag, 67, 1526, 10.1108/IJPPM-11-2017-0319
Ardia, 2011, Differential evolution with DEoptim: an application to non convex portfolio optimization, R J, 3, 27, 10.32614/RJ-2011-005
Aryanezhad, 2008, A new genetic algorithm for solving nonconvex nonlinear programming problems, Appl Math Comput, 199, 186, 10.1016/j.amc.2007.09.047
Athanassopoulos, 2001, Assessing the technical and allocative efficiency of hospital operations in Greece and its resource allocation implications, Eur J Oper Res, 133, 416, 10.1016/S0377-2217(00)00180-6
Aydin, 2020, The analysis of relative efficiency on the hospitals of the turkish state universities by using data envelopment analysis (DEA) method, J Int Trade Econ Res, 4, 47
Aye, 2018, Efficiency in South African agriculture: a two-stage fuzzy approach, Benchmarking Int J, 25, 2723, 10.1108/BIJ-04-2017-0072
Azadeh, 2011, An adaptive network based fuzzy inference system-genetic algorithm clustering ensemble algorithm for performance assessment and improvement of conventional power plants, Expert Syst Appl, 38, 2224, 10.1016/j.eswa.2010.08.010
Banker, 2006, The super-efficiency procedure for outlier identification, not for ranking efficient units, Eur J Oper Res, 175, 1311, 10.1016/j.ejor.2005.06.028
Bonacim, 2010, The influence of intellectual capital in performance evaluation: a case-study in the hospital sector, Public Health Sci, 15, 1249
Brasil, A. (2018). University hospitals will receive R $ 31 million from the federal government. Retrieved from https://agenciabrasil.ebc.com.br/educacao/noticia/2018-01/hospitais-universitarios-vao-receber-r-31-milhoes-do-governo-federal. Accessed January 30, 2022.
Chang, 2004, Hospital ownership and operating efficiency: evidence from Taiwan, Eur J Oper Res, 159, 513, 10.1016/S0377-2217(03)00412-0
Chilingerian, 1995, Evaluating physician efficiency in hospitals: a multivariate analysis of best practices, Eur J Oper Res, 80, 548, 10.1016/0377-2217(94)00137-2
Despotis, 2002, Improving the discriminating power of DEA: focus on globally efficiency units, J Oper Res Soc, 53, 314, 10.1057/palgrave.jors.2601253
Dong-Wook, 2008, A study on quality-incorporating models in evaluation of hospital efficiency with data envelopment analysis - an analysis on National University Hospitals in Korea, Korea J Hosp Manag, 13, 69
Fallahpour, 2016, An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach, Neural Comput Appl, 27, 707, 10.1007/s00521-015-1890-3
Ferrara, 2017, Semiparametric stochastic frontier models: a generalized additive model approach, Eur J Oper Res, 258, 761, 10.1016/j.ejor.2016.09.008
Fukuyama, 2020, Deconstructing three-stage overall efficiency into input, output and stability efficiency components with consideration of market power and loan loss provision: an application to Chinese banks, Int J Financ Econ
Garcia-Capulin, 2015, A hierarchical genetic algorithm approach for curve fitting with B-splines, Genet Prog Evol Mach, 16, 151, 10.1007/s10710-014-9231-3
Ghosh, 2011, Bootstrap study of parameter estimates for nonlinear Richards growth model through genetic algorithm, J Appl Statist, 38, 491, 10.1080/02664760903521401
Gonçalves, 2015, A biased random-key genetic algorithm for the unequal area facility layout problem, Eur J Oper Res, 246, 86, 10.1016/j.ejor.2015.04.029
Gonzalez, 2015, Using genetic algorithms for maximizing technical efficiency in data envelopment analysis, Procedia Comput Sci, 51, 374, 10.1016/j.procs.2015.05.257
Goodarzi, 2012, Hospital performance assessment of Lorestan University of Medical Sciences, Payesh, 11, 309
Grosskopf, 2004, Competitive effects on teaching hospitals, Eur J Oper Res, 154, 515, 10.1016/S0377-2217(03)00185-1
Gulsen, 1995, A genetic algorithm approach to curve fitting, Int J Prod Res, 33, 1911, 10.1080/00207549508904789
Gurgel, 2018, Analysis of performance indicators applied in a university hospital conveniated to the Brazilian hospital services company, Int J Dev Res, 8, 21861
Hadi-Vencheh, 2020, What does cost structure have to say about thermal plant energy efficiency? The case from Angola, Energies, 13, 2404, 10.3390/en13092404
Harris, 2000, Do mergers enhance the performance of hospital efficiency, J Oper Res Soc, 51, 801, 10.1057/palgrave.jors.2600869
Hamamoto, 2018, Network anomaly detection system using genetic algorithm and fuzzy logic, Expert Syst Appl, 92, 390, 10.1016/j.eswa.2017.09.013
Holland, 1975
James, 2013
Karr, 1995, Least median squares curve fitting using a genetic algorithm, Eng Appl Artif Intell, 8, 177, 10.1016/0952-1976(94)00064-T
Keedwell, 2005, A hybrid genetic algorithm for the design of water distribution networks, Eng Appl Artif Intell, 18, 461, 10.1016/j.engappai.2004.10.001
Kucukkoc, 2020, Balancing of two-sided disassembly lines: problem definition, MILP model and genetic algorithm approach, Comput. Oper. Res., 124, 10.1016/j.cor.2020.105064
Kumar, 2003, Parameter optimization for B-spline curve fitting using genetic algorithms
Lin, 2013, Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: specific application to determining optimal resource levels in surgical services, Omega, 41, 881, 10.1016/j.omega.2012.11.003
Lindlbauer, 2016, Changes in technical efficiency after quality management certification: a DEA approach using difference-in-difference estimation with genetic matching in the hospital industry, Eur J Oper Res, 250, 1026, 10.1016/j.ejor.2015.10.029
Lobo, 2013, Teaching hospitals in Brazil: findings on determinants for efficiency, Int J Healthc Manag, 7, 60, 10.1179/2047971913Y.0000000055
Lobo, 2009, Financing reform and productivity change in Brazilian teaching hospitals: malmquist approach, Cent Eur J Oper Res, 18, 141, 10.1007/s10100-009-0097-z
Labo, 2016, Dynamic network data envelopment analysis for university hospitals evaluation, Public Health Pract, 50, 22
Lin, 2013, Multi-objective simulation optimization using data envelopment analysis and genetic algorithm: specific application to determining optimal resource levels in surgical services, Omega, 41, 881, 10.1016/j.omega.2012.11.003
Lins, 2007, The use of Data Envelopment Analysis (DEA) for Brazilian teaching hospitals' evaluation, Sci Collect Health, 12, 985
Lins, 2007, The use of Data Envelopment Analysis (DEA) for Brazilian teaching hospitals´ evaluation, Science and Collective Health, 12, 985
Macinko, 2010, Major expansion of primary care in brazil linked to decline in unnecessary hospitalization, Health Aff, 12, 2149, 10.1377/hlthaff.2010.0251
Marchetti, 2019, Efficiency in rail transport: evaluation of the main drivers through meta-analysis with resampling, Transp Res Part A Policy Pract, 120, 83, 10.1016/j.tra.2018.12.005
Marinho, A. (2001). University hospitals: utilization indicators and efficiency analysis. Institute of Applied Economic Research, working paper no. 833, Brazil.
Marinho, A., & Façanha, L. O. (2000). University hospitals: comparative assessment of technical efficiency. Institute of Applied Economic Research, working paper no. 805, Brazil.
Medin, 2011, Cost efficiency of university hospitals in the Nordic countries: a cross-country analysis, Eur J Health Econ, 12, 509, 10.1007/s10198-010-0263-1
Ministry of Health (2019). Datasus. Retrieved from http://tabnet.datasus.gov.br/cgi/tabcgi.exe?cnes/cnv/leiutibr.def. Accessed January 30, 2022.
Ministry of Health (2020). Strategic guidelines. Retrieved from https://bvsms.saude.gov.br/bvs/pacsaude/diretrizes.php. Accessed January 30, 2022.
Mitropoulos, 2015, Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: an application to Greek public hospitals, Eur J Oper Res, 243, 302, 10.1016/j.ejor.2014.11.012
Mozaffari, 2020, A hybrid genetic algorithm-ratio DEA approach for assessing sustainable efficiency in two-echelon supply chains, Sustainability, 12, 8075, 10.3390/su12198075
Nayer, 2018, Assessment of the efficiency of hospitals affiliated to Hamadan University of Medical Sciences using data envelopment analysis and tobit regression, Hamadan, Imran, J Health Promot Manag, 7, 8
Osubor, 2019, Genetic-fuzzy data envelopment analysis model for evaluating financial institutions relative productivity in a fluctuating economic market, J Sci Islam Republic of Iran, 30, 77
Ozcan, 2010, Evaluating the performance of Brazilian university hospitals, Ann Oper Res, 178, 247, 10.1007/s10479-009-0528-1
Peixoto, 2018, Multivariate analysis techniques applied for the performance measurement of Federal University Hospitals of Brazil, Comput Ind Eng, 126, 16, 10.1016/j.cie.2018.09.020
Pereira, 2021, Incorporating preference information in a range directional composite indicator: the case of Portuguese public hospitals, Eur J Oper Res, 294, 633, 10.1016/j.ejor.2021.01.045
Peixoto, 2020, Performance management in hospital organizations from the perspective of principal component analysis and data envelopment analysis: the case of federal university hospital in Brazil, Comput Ind Eng, 150, 10.1016/j.cie.2020.106873
Portulhak, 2017, Business performance management in university hospitals: a diagnosis in Brazilian institutions, J Public Health, 19, 697
Raman, 2017, An efficient intrusion detection system based on hypergraph - genetic algorithm for parameter optimization and feature selection in support vector machine, Knowl-Based Syst, 134, 1, 10.1016/j.knosys.2017.07.005
Rastrigin, L. A. (1974). Systems of extremal control. Moscow.
Rezapour, 2015, Technical efficiency and resources allocation in university hospitals in Tehran, 2009-2012, Med J Islam Republic of Iran, 29, 226
Scrucca, 2013, GA: A Package for Genetic Algorithm in R, J Stat Softw, 53, 1, 10.18637/jss.v053.i04
Sevaux, 2007, A curve-fitting genetic algorithm for a styling application, Eur J Oper Res, 179, 895, 10.1016/j.ejor.2005.03.065
Shabani, 2019, A new optimization algorithm based on search and rescue operations, Math Probl Eng, 10.1155/2019/2482543
Shi, 2017, A hybrid genetic algorithm for a home health care routing problem with time window and fuzzy demand, Expert Syst Appl, 72, 160, 10.1016/j.eswa.2016.12.013
Shilane, 2008, A general framework for statistical performance comparison of evolutionary computations algorithms, Inf Sci, 178, 2870, 10.1016/j.ins.2008.03.007
Siqueira, 2018, Efficiency of Brazilian public services of kidney transplantation: Benchmarking Brazilian states via data envelopment analysis, Int J Health Plann Manage, 33, e1067, 10.1002/hpm.2588
Udhayakumar, 2011, Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems, Omega, 39, 387, 10.1016/j.omega.2010.09.002
Wanke, 2016, Predicting efficiency in Malaysian Islamic banks: a two-stage TOPSIS and neural networks approach, Res Int Bus Financ, 36, 485, 10.1016/j.ribaf.2015.10.002
Yang, 2006, Improving portfolio efficiency: a genetic algorithm approach, Comput Econ, 28, 1, 10.1007/s10614-006-9021-y
Zebardast, 2013, A new radial basis function artificial neural network based recognition for Kurdish manuscript, Int J Appl Evol Comput, 4, 72, 10.4018/ijaec.2013100105
Zhao, 2020, Repair equipment allocation problem for a support-and-repair ship on a deep sea: a hybrid multi-criteria decision making and optimization approach, Expert Syst Appl, 160, 10.1016/j.eswa.2020.113658
Zhao, 2020, Trends in hospital admission rates and associated direct healthcare costs in Brazil: a nationwide retrospective study between 2000 and 2015, Innovation, 1