The control of credit risk is a crucial task for financial institutions. Various subjective and
quantitative indicators are used to forecast credit risks. Machine learning technology uses …

Accurate credit risk prediction can help companies avoid bankruptcies and make
adjustments ahead of time. There is a tendency in corporate credit risk prediction that more …

Credit risk prediction is a critical task in the financial industry, allowing lenders to assess the
likelihood of a borrower defaulting on a loan. Traditional machine learning (ML) classifiers …

Purpose The attributes that influence the selection of applicants and the relevant crediting
decisions are naturally distinguished by interactions and interdependencies. A new method …

Esta revisión analiza una selección de artículos científicos sobre la implantación de
sistemas de evaluación del riesgo de crédito para identificar las soluciones existentes, las …

This review analyzes a selection of scientific articles on the implementation of Credit Risk
Assessment (CRA) systems to identify existing solutions, the most accurate ones, and …

Classifying applicants with good credit risk is essential for developing the banking industry
in the future. On the other hand, applicants with bad risk can certainly make banks, as …

Early detection of cancer is the greatest approach for curing cancer and increasing the
survival rate. people suffer from cancer in the world. Now, advanced Artificial intelligence …

Existe una real e importante necesidad en el sistema financiero, principalmente en
Colombia, de aplicar este tipo de modelos de predicción de morosidad, pues, si bien las …

The control of credit risk is a crucial task for financial institutions. Various subjective and
quantitative indicators are used to forecast credit risks. Machine learning technology uses …