Machine learning techniques in bankruptcy prediction: A systematic literature review

A Dasilas, A Rigani - Expert systems with applications, 2024 - Elsevier
The main objective of this systematic literature review is to unveil the prevailing trend of
employing cutting-edge models for bankruptcy prediction for a period spanning from 2012 to …

Bankruptcy prediction with low-quality financial information

E da Silva Mattos, D Shasha - Expert Systems with Applications, 2024 - Elsevier
The corporate bankruptcy prediction literature has traditionally relied on data from public,
audited companies. However, the vast majority of firms worldwide are privately-held and …

Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture

T Ansah-Narh, ENN Nortey, E Proven-Adzri… - Expert Systems with …, 2024 - Elsevier
In the contemporary business landscape, accurately evaluating a company's financial health
is essential for stakeholders to mitigate risks and avert bankruptcy. This study presents an …

“I married because…”: Motivations to marry early among female spouses in child marriages in northern Ghana

EA Sarfo, JS Yendork, AV Naidoo - Children and Youth Services Review, 2024 - Elsevier
Child marriage is practised in Ghana with a prevalence rate of 27.2%. This high prevalence
is due to how marriage is conceptualized and constructed in communities that practice child …

[HTML][HTML] Challenges of Artificial Intelligence for the Prevention and Identification of Bankruptcy Risk in Financial Institutions: A Systematic Review

LJ Vásquez-Serpa, C Rodríguez… - Journal of Risk and …, 2025 - mdpi.com
The identification and prediction of financial bankruptcy has gained relevance due to its
impact on economic and financial stability. This study performs a systematic review of …

[PDF][PDF] Legal Policy of State Financial Losses Arrangement in a State-Owned Enterprise

GM Swardhana, S Monteiro - Bestuur, 2023 - academia.edu
Generally, institutions are commonly perceived as factors that impede economic
performance. However, a body of research presents an alternative perspective, arguing that …

Enhancing credit risk assessments of SMEs with non-financial information

RR Wahlstrøm, LK Becker… - Cogent Economics & …, 2024 - Taylor & Francis
We investigate non-financial variables for predicting bankruptcy in small and medium-sized
enterprises (SMEs). The variables encompass management, board and ownership …

[HTML][HTML] “It's the patient that suffers from poor communication”: Analyzing communication gaps and associated consequences in handover events from nurses' …

RA Atinga, MN Gmaligan, A Ayawine… - SSM-Qualitative Research …, 2024 - Elsevier
Background Although routine communication gaps among clinical shift teams significantly
account for adverse care and treatment outcomes, existing analysis of the phenomenon …

Can China's low-carbon city pilot policy facilitate carbon neutrality? Evidence from a machine learning approach

Z Wang, F Zhou, J Zhong - Economic Analysis and Policy, 2024 - Elsevier
This study examines China's 2060 carbon neutrality goal using the Double/Debiased
Machine Learning (DML) model to analyze the causal effects of the low-carbon city pilot …

Advancing bankruptcy prediction: a study on an improved rime optimization algorithm and its application in feature selection

Y Ji, C Lu, L Liu, AA Heidari, C Wu, H Chen - International Journal of …, 2025 - Springer
To solve bankruptcy prediction tasks, we proposed an improved rime optimization technique
(RMRIME). The proposed RMRIME algorithm first employs roulette wheel selection step …