Work

Determining the creditworthiness of borrowers in Blockchain-based peer-to-peer lending systems using machine learning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Adaptive Science and Technology (ICAST)

DOI: 10.1109/icast61769.2024.10856478

Authors: Andrene Nii Ayitey Addy, Adebayo Felix Adekoya, Anokye Acheampong Amponsah, Samuel Boateng

Institutions: University of Energy and Natural Resources, Catholic University College of Ghana

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4406983343

FWCI:

Cites: 41

Cited by:

Related to: 10