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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3239889
Abstract: In recent years, deep learning credit scoring models have become a hot research topic in Internet finance. However, most of the existing studies are based on deep neural network models, whose structure is difficult to…
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Keywords:
credit;
credit scoring;
resampling methods;
deep forest ... See more keywords
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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0255253
Abstract: Background The preoperative distinction between uncomplicated and complicated appendicitis is important to determine the appropriate treatments, such as antibiotics, surgery, or interval appendectomy. Computed tomography (CT) plays an important role; however, combining clinical and imaging…
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Keywords:
complicated appendicitis;
clinical scoring;
factors clinical;
usefulness several ... See more keywords
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1
Published in 2018 at "Intangible Capital"
DOI: 10.3926/ic.1108
Abstract: Purpose: To determine the predictive capacity of two Z scoring models in situations of bankruptcy in the Spanish context. Design/methodology/approach: The research intends to answer four questions: (1) Is Altman's Z scoring model a better…
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Keywords:
financial problems;
early detection;
spanish companies;
scoring models ... See more keywords