High bankruptcy rates can lead to the collapse of economic systems. Therefore, having
accurate and reliable models to predict firms in financial distress allows for proper …

Hyper automation is the group of approaches and software companies utilised to automate
manual procedures. Financial Technology (FinTech) was processed as a distinctive …

Machine learning technology has a massive impact on society because it offers solutions to
solve many complicated problems like classification, clustering analysis, and predictions …

By 2021, Japan will have the third-largest economy in the world, behind China, which is
currently the world's second-largest economy. China accounts for 17.9% of the global gross …

The presence of machine learning, data mining and related disciplines is increasingly
evident in everyday environments. The support for the applications of learning techniques in …

The prediction of bankruptcy risk poses a formidable challenge in the fields of economics
and finance, particularly within the healthcare industry, where it carries significant economic …

The present paper aims to compare the predictive performance of five models namely the
Linear Discriminant Analysis (LDA), Logistic Regression (LR), Decision Trees (DT), Support …

This study focuses on testing the efficiency of alternative bankruptcy prediction models
(Altman, Ohlson, Zmijewski) and on assessing the possible reasons that led to the …

Predicting the bankruptcy is important for any company to take their financial decisions. With
the help of company's data, using machine learning techniques, we can predict whether a …

The credit assessment process has traditionally been based on a relatively stable set of
financial indicators such as overall indebtedness, cash flow stability, and borrower history …