Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Engineered nanozymes and explainable machine learning enable sensitive bacterial detection across complex conditions. The system uses three distinct signals and delivers transparent, verifiable ...

Nowadays, thyroid disease is increasing rapidly allover the world. Significantly, one out of ten people is affected by the thyroid in India. In recent years, many researchers have done various ...

Furthermore, implementing the XGBoost algorithm is pivotal in crafting a fatigue prediction model explicitly tailored for climbing operations. This approach bears profound practical significance as it ...

Liew, X.Y., Hameed, N. and Clos, J. (2021) An Investigation of XGBoost-Based Algorithm for Breast Cancer Classification. Machine Learning with Applications, 6 ...

Heart is a vital organ of the human body which provides body with oxygen rich blood. If the heart stops working, then a human being dies within a span of few minutes. This paper analyses the ...

Hence, we designed an algorithm for predicting gene expression values based on XGBoost, which integrates multiple tree models and has stronger interpretability. We tested the performance of XGBoost ...

Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So ...