Abstract: A novel approach for the validation of data in signal integrity and power integrity using machine learning is proposed. This approach presents an alternative to the feature selective ...

This could support semiautomated abstraction, but given the potential risk for harm, human review would be essential before using results for any patient engagement or care decisions. Furthermore, ...

Abstract: Accurate estimates of terrestrial evapotranspiration (ET) are critical for regional drought monitoring and water resources management. Various remotely sensed evapotranspiration (RS_ET) ...

Objective: The aim of this study is to develop and validate a stroke diagnosis and prediction tool using ChatGLM-6B, which uses free-text information from electronic health records in conjunction with ...