Financial Risk Early-Warning Model Based on Kernel Principal Component Analysis in Public Hospitals

Abstract

Public hospitals are facing the dual pressure of coping with external medical market competition and performing public health duties. Due to the influence of various risk factors, public hospitals are facing increasing financial risks. How to effectively prevent and control financial risks and maintain the normal operation and sustainable development of the hospital is a very important topic that needs to be studied in the development of public hospitals. Because the traditional principal component analysis method only pays attention to the global structural features and ignores the local structural features, a financial risk early-warning model based on improved kernel principal component analysis in public hospitals is proposed to improve the ability of risk assessment. The core ideas of the method in this paper for financial risk forecasting are as follows: the nonlinear features of the financial data are firstly extracted under different conditions, and then the feature matrix and the optimal feature vector are calculated to construct the distance statistics so as to determines the threshold by kernel density estimation; finally the Fisher discriminant analysis is used for similarity measurement to identify the risk types. Through experiments on the financial data of a number of public hospitals and listed companies, the experimental results verify the feasibility and effectiveness of the method used in this paper for financial risk analysis. This further shows that this research has a certain display significance.

[Retracted] Prediction and Analysis of Corporate Financial Risk Assessment Using Logistic Regression Algorithm in Multiple Uncertainty Environment

“…For the SC Group's financial early warning model, Pompella and Dicanio recommended integrating the logistic regression method with the factor analysis method to increase the model's accuracy [ 19 ]. Qu and Li suggested that the addition of annual cumulative excess return of nonfinancial indicators and auditor's opinions improved the prediction accuracy of the model [ 20 ]. Zhu and Liu suggested that there are not only financial indicators but also nonfinancial indicators that affect the evaluation of the company's business performance.…”

[Retracted] Analysis and Risk Assessment of Corporate Financial Leverage Using Mobile Payment in the Era of Digital Technology in a Complex Environment

“…Financial issues are the key concern of every listed company. e establishment of a financial risk prediction system can effectively avoid the company's financial crisis and promote the company's sustainable development [9]. If the financial risks that the company will face in the future can be predicted, the company can greatly avoid losses and protect the company's interests.…”

Application of Optimized BP Neural Network In Financial Alert System

“…The concept of financial alert first appeared in western countries. At present, the theory of financial crisis is constantly improving, and there are many research results in the research and analysis of financial distress [1]. From the perspective of fiscal forewarning, early research mainly depends on personal development experience, and there will always be some deviation in financial alert [2].…”