Dagan and colleagues developed machine learning (ML) models using retrospective patient data to identify potential hepatitis ...

The proposed system employs various machine learning techniques, including XGBoost, Neural Networks, and Linear Regression, ...

Discover how machine learning predicts sepsis-associated ARDS and mortality with high accuracy. Learn about the potential for ...

Discover how machine learning predicts successful discontinuation of renal therapy in critically ill patients with acute ...

“The system is limited to only certain types of problems that fit the hardcoded guardrails,” he added. Moreover, in the realm ...

The integration of machine learning into the GEOS-Chem model enhances aerosol simulations, providing critical insights for ...

集团“联合建模方法、装置、电子设备及存储介质”专利为金融行业提供了一种高效、安全的联合建模方法。通过结合XGBoost算法、直方图算法、同态加密、安全聚合和gRPC交互等多种技术，为各机构提供了一种更为灵活的联邦学习方案，即混合联邦学习，各机构可以在不共享原始数据的情况下，共同训练一个高效的机器学习模型，确保了数据的安全性和模型的有效性，解决了数据样本和特征维度不足的问题。该技术避免了人工资源浪费 ...

【ITBEAR】WeLab汇立集团近期宣布了一项重大技术创新成果，其创新研究中心研发的“联合建模技术”成功获得国家知识产权局颁发的发明专利证书。这项技术以XGBoost算法为核心，开创性地提出了混合联邦学习方法，为金融行业在数据稀缺和特征维度不足的情 ...

In a fast-paced world of machine learning, any tools or frameworks that guide the development of AI models highly influence ...

The following is a summary of “Factors and machine learning models for predicting successful discontinuation of continuous ...