My company, Kickfurther, has carved out a niche by connecting businesses in need of funding for their retail inventory with buyers of that inventory. A key component of this business model is the ...
Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...
While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.
YouTube on MSN
Krishnam Narsepalle: Architecting the future of credit and financial risk data systems
Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...
The Santander US Auto business uses FICO® Platform to enhance the use of machine learning capabilities to support credit risk analysis. FICO Platform enables Santander US Auto to build an analytical ...
A new Fracture Risk Assessment Tool that includes bone microarchitecture measures outperformed the current tool that uses ...
A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results