The Business & Financial Times on MSN

The next generation of loan products in West Africa: Building credit around the borrower

By John Pabi NtifoIncome aligned lending, AI assisted affordability analysis, and dynamic pricing are no longer theoretical. The conditions for borrower first credit products are converging in West ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
WhoWhatWhy on MSNOpinion

Saturday hashtag: #AIDigitalAssumption

Welcome to Saturday Hashtag, a weekly place for broader context. Saturday Hashtag: #AIDigitalAssumption originally appeared ...
IEEE

Loan Eligibility Prediction: A Comparative Analysis Using Machine Learning Algorithms

Abstract: Approval of loans is important and delicate work for financial institutions, considering that the processes have become more complicated due to digitalisation and the amount of data that is ...
IEEE

Loan Defaulter Prediction using Machine Learning: A Comparative Analysis with Explainability Insights

Abstract: The precise prediction of loan defaults is very important for banks and other financial institutions to mitigate their risk. This study evaluates the performance of three different machine ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Frontiers

Early prediction of gestational diabetes mellitus using machine learning-integrated metabolomic and clinical features

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...