Early prediction of prognosis for neurosurgical diseases remains challenging. This study aimed to develop a machine learning-based model to predict unfavorable outcomes in neurosurgical patients. We ...

The main outcome was all-cause mortality. A machine learning model to predict the optimal PA pattern for individual patients was trained in the UK Biobank (UKB) cohort and externally validated in the ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

This study aimed to develop and validate a predictive model that integrates audiological and psychometric variables to individually predict responses to sound therapy in tinnitus patients. This study ...

The link between Alzheimer’s disease and amyloid plaques is well documented, with innumerable studies exploring techniques and therapies to inhibit plaque formation, preventing development or ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Abstract: In the three-level neutral point clamped (NPC) inverter-fed PMSM drive, the modulated model predictive control (M2PC) possesses the advantages of fixed switching frequency, lower torque ...