Using Artificial Intelligence and Deep Learning Applications in Credit Risk Analysis

This study aims to develop a high-performing predictive model capable of classifying a credit file as *good* or *bad*, in order to help financial institutions reduce the risks of default and optimize their credit decision-making processes.

Authors

Publication Details

Journal
Cuestiones de Fisioterapia
Published
2025-02-20
DOI
https://doi.org/10.48047/rzb7xq74
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Artificial Intelligence and Deep Learning Applications in Credit Risk Analysis

Mostafa Elhachloufi, Asmaa Faris
Cuestiones de Fisioterapia
Explainable Artificial Intelligence (XAI)
article

Using Artificial Intelligence and Deep Learning Applications in Credit Risk Analysis

Mostafa Elhachloufi, Asmaa Faris
article en

Abstract

This study aims to develop a high-performing predictive model capable of classifying a credit file as *good* or *bad*, in order to help financial institutions reduce the risks of default and optimize their credit decision-making processes.

Cuestiones de FisioterapiaVol. 54(4)
Openalex Percentile: Top 98%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
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Using Artificial Intelligence and Deep Learning Applications in Credit Risk Analysis — Mostafa Elhachloufi, Asmaa Faris · Cuestiones de Fisioterapia (2025) | TGRS Research Map | TGRS