AIMC Topic: Regression Analysis

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Comparing Artificial Intelligence and Traditional Regression Models in Lung Cancer Risk Prediction Using A Systematic Review and Meta-Analysis.

Journal of the American College of Radiology : JACR Mar 4, 2025
PURPOSE: Accurately identifying individuals who are at high risk of lung cancer is critical to optimize lung cancer screening with low-dose CT (LDCT). We sought to compare the performance of traditional regression models and artificial intelligence (...
Tomography, X-Ray Computed Risk Assessment Lung Neoplasms Regression Analysis Humans Artificial Intelligence
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Classification and regression machine learning models for predicting mixed toxicity of carbamazepine and its transformation products.

Environmental research Feb 8, 2025
Carbamazepine (CBZ) and its transformation products (TPs) often occur in aquatic environments in the form of mixtures, posing potential risks to ecosystems. However, establishing standardized protocols for synthesizing, isolating, and acquiring these...
Carbamazepine Proflavine Regression Analysis Anticonvulsants Acridines Vibrio Quantitative Structure-Activity Relationship Toxicity Tests Machine Learning Water Pollutants, Chemical Models, Statistical
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Do Machine Learning Approaches Perform Better Than Regression Models in Mapping Studies? A Systematic Review.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Feb 6, 2025
OBJECTIVES: To identify how machine learning (ML) approaches were implemented in mapping studies and to determine the extent to which ML improved performance compared with regression models (RMs).
Machine Learning Algorithms Regression Analysis Humans Bayes Theorem
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Machine Learning-Based Real-Time Survival Prediction for Gastric Neuroendocrine Carcinoma.

Annals of surgical oncology Jan 28, 2025
BACKGROUND: This study aimed to develop a dynamic survival prediction model utilizing conditional survival (CS) analysis and machine learning techniques for gastric neuroendocrine carcinomas (GNECs).
Proportional Hazards Models Predictive Learning Models Random Forest Carcinoma, Neuroendocrine SEER Program Nomograms Male Aged United States Humans Middle Aged Machine Learning Regression Analysis Stomach Neoplasms Retrospective Studies Risk Assessment Survival Rate Female
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On spectral bias reduction of multi-scale neural networks for regression problems.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
In this paper, we derive diffusion equation models in the spectral domain to study the evolution of the training error of two-layer multiscale deep neural networks (MscaleDNN) (Cai and Xu, 2019; Liu et al., 2020), which is designed to reduce the spec...
Humans Regression Analysis Bias Neural Networks, Computer Algorithms
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Reducing bias in source-free unsupervised domain adaptation for regression.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Due to data privacy and storage concerns, Source-Free Unsupervised Domain Adaptation (SFUDA) focuses on improving an unlabelled target domain by leveraging a pre-trained source model without access to source data. While existing studies attempt to tr...
Humans Neural Networks, Computer Regression Analysis Unsupervised Machine Learning Bias
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Nonlinear feature selection for support vector quantile regression.

Neural networks : the official journal of the International Neural Network Society Jan 13, 2025
This paper discusses the nuanced domain of nonlinear feature selection in heterogeneous systems. To address this challenge, we present a sparsity-driven methodology, namely nonlinear feature selection for support vector quantile regression (NFS-SVQR)...
Nonlinear Dynamics Algorithms Support Vector Machine Regression Analysis Humans Neural Networks, Computer
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Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Anaesthesia Jan 8, 2025
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predi...
Regression Analysis Elective Surgical Procedures Surgical Procedures, Operative Male Middle Aged Postoperative Complications Humans Machine Learning Aged Aged, 80 and over Databases, Factual Female
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs.

International dental journal Jan 5, 2025
OBJECTIVE: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models.
Predictive Value of Tests Radiography Cephalometry Mandible Puberty Regression Analysis Incisor Body Size Maxilla Random Forest Face Random Allocation Humans Retrospective Studies Reproducibility of Results Male Adolescent Child Skull Base Adolescent Development Predictive Learning Models
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Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset.

PloS one Dec 31, 2024
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies. Traditional methods typically rely on a Poisson distribution for modeling claim counts; ...
Poisson Distribution Support Vector Machine Humans Models, Statistical Automobiles Neural Networks, Computer Regression Analysis Insurance Machine Learning
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