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Prognostic modeling is central to medicine, as it is often used to predict patients' outcome and response to treatments and to identify important medical risk factors. Logistic regression is one of the most used approaches for clinical prediction modeling. Traumatic brain injury (TBI) is an important public health issue and a leading cause of death and disability worldwide. In this study, we adapt...
Credit is becoming one of the most important incomes of banking. Past studies indicate that the credit risk scoring model has been better for Logistic Regression and Neural Network. The purpose of this paper is to conduct a comparative study on the accuracy of classification models and reduce the credit risk. In this paper, we use data mining of enterprise software to construct four classification...
Many problems in machine learning involve variable-size structured data, such as sets, sequences, trees, and graphs. Generative (i.e. model based) kernels are well suited for handling structured data since they are able to capture their underlying structure by allowing the inclusion of prior information via specification of the source models. In this paper we focus on marginalisation kernels for variable...
A combining forecast model is proposed to evaluate the residential loan, which improves the accuracy of a single evaluation model. Firstly, the Relevance Vector Machine (RVM) model and logistic regression model are trained by the financial data respectively. Then the weighted average rule is used to fuse these two models based on a weight training procedure. Finally, the combining model is employed...
The main goal in the credit scoring process is forecasting every customer's adequacy in accomplishment of their obligations precisely as much as possible. Although this technique is identical with regular binary classification tasks but it has a few crucial differences. Whereas, based on financial credit rules, a customer is considered based on a degree of goodness or badness, one cannot allocate...
The Primary Open Angle Glaucoma(POAG) discriminated model using support vector machine(SVC) method is presented to distinguish the primary open-angle glaucoma disease, which is not clear in early symptoms and involves in various risk factors, moreover easy to blind with prolonged intraocular hypertension. Through case study of clinical diagnosis, SVM classifier with a radial basis inner function was...
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