A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Abenwi, J. (2026) Odds, Ends, and Empty Wallets: The Rise of Sports Betting in Cameroon and the Hidden Costs for Low-Income Families. Modern Economy, 17, 531-542. doi: 10.4236/me.2026.173028 .

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...

Objectives Declining physical fitness, rising obesity and mental and behavioural diagnoses are growing public health issues in young adults. This study aimed to examine the associations between ...

Objective This study aims to explore how age and gender are associated with health deterioration related to caregiving among caregivers aged 75 and older in Spain. Design Observational, descriptive, ...

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Objective Geriatric patients often face issues related to polypharmacy and adverse drug events. Re-evaluating prescribed medications and considering deprescribing is critical. Medication discrepancies ...

In this large international cohort of immunocompromised patients with ARF, we identified key risk and protective factors for mortality and intubation. These findings could improve outcomes by ...

Mastering downtime reduction relies on a resilient, efficient and intelligent operation to optimize equipment life cycles and enhance safety.