Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

Cerebellar patients exhibit various motor impairments, but the sequence of primary and compensatory processes leading to these deficits remains unclear. To investigate this, we reversibly blocked ...

ds = pd.read_excel('database.xlsx') #download from https://archive.ics.uci.edu/dataset/294/combined+cycle+power+plant #Separate the independent variables (features ...

Here we show that the SC codes neither desired gaze displacement ... First, a multiple linear regression analysis was performed on the stimulus-induced displacement of gaze as a function of ...

Here, we reformulate the brain age prediction task from regression to classification to address the issue of systematic bias. Recognizing the importance of preserving ordinal information from ages to ...

We also propose a novel way to estimate and predict distribution of fitness effects (DFE ... We found the pivot point fitness of individual mutations via linear regression of background fitness and ...

Objective To predict the risk of hospital-acquired pressure injury using machine learning compared with standard care. Design We obtained electronic health records (EHRs) to structure a multilevel ...

We constructed multivariate Cox proportional hazard models or linear regression models to explore the effects of SI trajectory on secondary outcomes ... Chalson comorbidity index can predict the ...

We hypothesized that hope, particularly agency, would predict exercise goal attainment and moderate ... Next, separate multivariate linear regression analyses were conducted to determine predictors of ...