A multinational research team led by researchers at Institute of Science Tokyo, RIKEN, and the University of Toronto has ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

ABSTRACT: Early detection of Alzheimer’s disease (AD) is critical for intervention and monitoring. Spontaneous speech is a rich behavioural signal of cognitive decline, yet many machine-learning ...

ABSTRACT: Background: Self-perceptions of aging (SPA)—multidimensional psychological constructs reflecting individuals’ attitudes toward aging—are emerging predictors of dementia risk. However, their ...

With radical prostatectomy for prostate cancer, there may be associated long-term postoperative sequalae: urinary incontinence and erectile dysfunction (ED). It is important to predict the functional ...

Advances in high-dimensional single-cell analysis have transformed our understanding of cellular heterogeneity and its role in complex pathologies. Most datasets are acquired through single-cell RNA ...

I have a question about conditional predictions. There is already a thread on this, but it hasn't helped me much (there seems to be a workaround using the CV function). I want to use the predict.Hmsc ...

I am exploring some R packages to build species distribution models, and I am trying flexsdm in the last days. I find the package very useful, but I am encountering ...

Trauma touches almost everyone. Approximately 90% of Americans will be exposed to a traumatic event in their lifetime and the public health significance of trauma is clear in the vast negative mental ...