Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEE …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …

Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li… - Information …, 2021 - Elsevier
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

[HTML][HTML] Impact of internet finance on the performance of commercial banks in China

J Dong, L Yin, X Liu, M Hu, X Li, L Liu - International Review of Financial …, 2020 - Elsevier
The rapid development of Internet finance has certainly affected the operation of commercial
banks. This paper investigates the impact of Internet finance on commercial banks. First, a …

A study on predicting loan default based on the random forest algorithm

L Zhu, D Qiu, D Ergu, C Ying, K Liu - Procedia Computer Science, 2019 - Elsevier
Recently, with the advance of electronic commerce and big data technology, P2P online
lending platforms have brought opportunities to businessmen, but at the same time, they are …

A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods

JH Dahooie, SHR Hajiagha, S Farazmehr… - Computers & operations …, 2021 - Elsevier
Credit risk evaluation is always the most important factor in determining Customers' credit
status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been …

[HTML][HTML] Combating emerging financial risks in the big data era: A perspective review

X Cheng, S Liu, X Sun, Z Wang, H Zhou, Y Shao… - Fundamental …, 2021 - Elsevier
Big data technology has had a significant impact on new business and financial services: for
example, GPS and Bluetooth inspire location-based services, and search and web …

[PDF][PDF] Credit card analytics: a review of fraud detection and risk assessment techniques

K Patel - International Journal of Computer Trends and …, 2023 - researchgate.net
The financial sector, particularly the credit card industry, has witnessed a transformative shift
with the integration of advanced analytics. This review delves into the multifaceted realm of …

Machine learning (Ml) technologies for digital credit scoring in rural finance: a literature review

A Kumar, S Sharma, M Mahdavi - Risks, 2021 - mdpi.com
Rural credit is one of the most critical inputs for farm production across the globe. Despite so
many advances in digitalization in emerging and developing economies, still a large part of …

A MCDM-based evaluation approach for imbalanced classification methods in financial risk prediction

Y Song, Y Peng - IEEE Access, 2019 - ieeexplore.ieee.org
Various classifiers have been proposed for financial risk prediction. The traditional practice
of using a singular performance metric for classifier evaluation is not sufficient for …

Impact of bank specific factors on credit risk: evidence from Islamic and conventional banks of Pakistan

N Khan, M Ramzan, T Kousar… - Pakistan Journal of …, 2023 - journals.internationalrasd.org
The impact of credit risk (CR) on bank-specific factors (BSF's) and banks in the event of
conventional and Islamic banks of Pakistan is an essential motivation behind this learning …