Frontiers

Risk factors for hematuria during indwelling urinary catheterization in acute myocardial infarction: a comparative analysis using logistic regression and decision tree

Objective: This study aimed to systematically identify risk factors for urinary catheter-related hematuria in patients with acute myocardial infarction (AMI). By integrating logistic regression and ...
Frontiers

Heterogeneity of benefit finding in maintenance hemodialysis patients: a decision tree-based subgroup analysis of self-efficacy and social support

1 School of Nursing, Naval Medical University, Shanghai, China 2 Department of Clinical Psychology, Chongqing Mental Health Center, Chongqing, Shanghai, China Background: Benefit finding (BF) improves ...
C&EN

From Reaction Stoichiometry to Life Cycle Assessment: Decision Tree-Based Estimation Tool

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
Scientific Research Publishing

Zhu, W., Qiu, R. and Fu, Y. (2024) Comparative Study on the Performance of Categorical Variable Encoders in Classification and Regression Tasks. arXiv: 2401.09682.

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
ascopubs.org

Early detection of renal cell carcinoma: A novel cfDNA fragmentomics-based liquid biopsy assay.

International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) classification and regression tree analysis to characterize objective response rates (ORR) in metastatic renal cell carcinoma ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
IEEE

A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to a Large-Scale Dataset

Abstract: Multitask learning is a widely recognized technique in the field of computer vision and deep learning domain. However, it is still a research question in remote sensing, particularly for ...
Scientific Research Publishing

Using Decision Tree Classification and Principal Component Analysis to Predict Ethnicity Based on Individual Characteristics: A Case Study of Assam and Bhutan Ethnicities ()

1 Department of Computer Engineering, Northeastern University, Boston, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 3 Department of Computer Engineering, ...