Nature

Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks

This study aimed to identify candidate diagnostic miRNAs from the serum of colorectal cancer (CRC) patients using Boruta, a wrapper-based feature selection technique, in combination with decision tree ...
Nature

Precise multi-factor immediate implant placement decision models based on machine learning

This study aims to explore the effect of implant apex design, osteotomy preparation, intraosseous depth and bone quality on immediate implant placement insertion torque and establish a more ...