دانلود رایگان مقاله لاتین روش تحلیل بهداشت و درمان از سایت الزویر
عنوان فارسی مقاله:
DEANN: یک روش تحلیل تحلیلی بهداشت و درمان تجزیه و تحلیل پوششی داده ها و شبکه های عصبی مصنوعی برای پیش بینی وضعیت عملکردی عضو
عنوان انگلیسی مقاله:
DEANN: A Healthcare Analytic Methodology of Data Envelopment Analysis and Artificial Neural Networks for the Prediction of Organ Recipient Functional Status
سال انتشار : 2016
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بخشی از مقاله انگلیسی:
2. Literature Review
Several research studies have been performed in different areas both from a DEA and an ANN perspective. A thorough comparison of the benefits and drawbacks of both DEA and ANNs was performed by Athanassopoulos and Curram (1996). They showed that one of the prime advantages the ANN has over strict DEA is that there is no causality required, which is very important in an organ transplant setting as in the current study. ANNs also allow a combination of continuous and discrete data to be considered without further modifications that must be done for DEA. These advantages make ANN a suitable component in a two-step hybrid methodology composed of DEA and ANNs, as the benefits of DEA can be utilized to process the data and the ANN can perform the predictions, which draws upon the advantages of both. A hybrid approach was also performed by Samoilenko and Osei-Bryson (2010) in which DEA and ANNs are utilized in a joint effort to determine the complexity in determining relative efficiency when there are heterogeneous levels of input and output relationships amongst the DMUs. A non-hybrid approach was performed by Liu et al. (2009) who used a super-efficiency DEA model to rank the observations. Super-efficiency DEA model does not result in efficiencies that are constrained to being less than one. This is performed by removing the i th observation from the set of inputs and outputs when the i th set itself is analyzed. This is in contrast to normal DEA operations where every observation is included in each analysis, even the i th. These values are then the goal of the ANN. As such, when the ANN is trained using the set of training observations, these values must lie within a specified distance of the super-efficiency values of the DEA model, otherwise training continues. ANN is, therefore, being trained to perform the operation of the super-efficiency DEA model, and does not fit well suited for situations in which the relationships between the inputs and outputs is ill understood, the very basis in which ANNs should thrive. Furthermore, the super-efficiency DEA model is already an efficient algorithm that can handle large numbers of observations but is, however, fairly restrained when it comes to the missing data, which is the ANNs would be able to handle. This is, however, not investigated here. There is also no mention of preprocessing of the dataset, which may be vital in other applications where there is missing data or large numbers of inputs and outputs. Chen (2010) performed similar work, where pre- and post-predictions are classified using DEA to judge the effectiveness of the ANN. Ozdemir and Temur (2009) trained an ANN to predict the efficiency of the input-oriented DEA.
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کلمات کلیدی:
Asil Oztekin, Ph.D. - Google Scholar Citations scholar.google.com/citations?user=hdoCMXYAAAAJ&hl=en Associate Professor of UMass Lowell, Operations&Information Systems - uml.edu An RFID Network Design Methodology for Asset Tracking in Healthcare ... DEANN: A Healthcare Analytic Methodology of Data Envelopment Analysis and ... Asil Oztekin | UMass Lowell https://www.uml.edu/MSB/faculty/Oztekin-Asil.aspx Medical informatics, healthcare engineering, decision analysis, multivariate data ... Chen, Y., Chandra, K. (2016) "DEANN: A healthcare analytic methodology of ... Yao Chen | UMass Lowell https://www.uml.edu/MSB/faculty/chen-yao.aspx 122; Misiunas, N., Oztekin, A., Chen, Y., Chandra, K. (2015) "DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural ... Modeling of cutting performances in turning process using artificial ... journals.sagepub.com/doi/abs/10.1177/1847979017718988 by S Dahbi - 2017 Jul 7, 2017 - Analysis and modelling of the contact radius effect on the cutting forces in .... DEANN: A healthcare analytic methodology of data envelopment ... Healthcare Analytics: From Data to Knowledge to Healthcare ... https://www.amazon.com/Healthcare-Analytics-Improvement.../dp/1118919394 Features of statistical and operational research methods and tools being used to improve the healthcare industry. With a focus on cutting-edge approaches to ... E-Tree - Alparslan Oztekin Details - Neurotree https://neurotree.org/beta/peopleinfo.php?pid=431761 Mar 26, 2016 - (2016) DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ ...
