Shaking up economic early warning systems with an artificial jellyfish algorithm

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...
Devdiscourse

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...
ascopubs.org

Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non–Small Cell Lung Cancer

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
Pulmonology Advisor

Child Asthma Attacks Predicted Using Salivary Bacteria, Inflammatory Mediators

A new pediatric asthma attack prediction model combines data on attack history, salivary bacteria composition, and serum inflammatory mediator levels.
Insurancenewsnet.com

Reports from University of Minnesota Describe Recent Advances in Health Insurance (Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random ...

2024 MAY 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Fresh data on health insurance are presented in a new report. According to news originating from the ...
Medscape

Cirrhosis Mortality Prediction Boosted by Machine Learning

Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...