IEEE

High-Precision Modeling of Industrial Process Using Lightweight Deep Forest Regression with Its Application

Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
The Lancet

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study

dDepartment of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China ...
Frontiers

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...
IEEE

Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

Abstract: Self-confidence is a crucial trait that significantly influences performance across various life domains, leading to positive outcomes by enabling quick decision-making and prompt action.