This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...

Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

a fast and accurate implementation of temperature scaling. an implementation of structured matrix scaling (SMS), a regularized version of matrix scaling that outperforms other logistic-based ...

Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...

Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...

As biomarker studies employ increasingly complex and expensive genomics and other correlative methods, it is increasingly important to rigorously design these studies and analyze the downstream ...

Abstract: Logistic regression is a supervised learning algorithm widely used in binary classification scenarios. It can predict the probability of time occurrence with probability. In this paper, to ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...