AIMC Topic: Linear Models

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Optimization of primary screw stability in Trabecular bone using neural network-based models.

Computer methods and programs in biomedicine Mar 10, 2025
BACKGROUND AND OBJECTIVE: Screw implant stability in bone is crucial to the success of many orthopaedic procedures, yet the relationship between screw design parameters and specific bone characteristics remains underexplored. This study aims to optim...
Machine Learning Tomography, X-Ray Computed Bone Screws Linear Models Cancellous Bone Humans Neural Networks, Computer
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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city.

Frontiers in public health Mar 6, 2025
INTRODUCTION: Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution in cities. This study focuses on Wuhan, where low green coverage rates and imbalanced green space allocation po...
Urban Health China Parks, Recreational Urban Renewal Sustainable Development Environment Design Cities Linear Models Random Forest Support Vector Machine
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An quality evaluation method based on three-dimensional integration and machine learning: Advanced data processing.

Journal of chromatography. A Feb 28, 2025
This study presents an innovative approach for the quality evaluation of traditional Chinese medicine (TCM) by integrating three-dimensional (3D) data processing with machine learning, aimed at enhancing the efficiency and accuracy of HPLC-DAD data a...
Flavonoids Drugs, Chinese Herbal Chromatography, High Pressure Liquid Machine Learning Algorithms Reproducibility of Results Quality Control Linear Models Scutellaria baicalensis
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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data.

Scientific reports Feb 18, 2025
A brain tumor is an abnormal growth of cells within the brain or surrounding tissues, which can be either benign or malignant. Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and visi...
Humans Neural Networks, Computer Machine Learning Algorithms Normal Distribution Brain Neoplasms Deep Learning Linear Models
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Predicting Type 2 diabetes onset age using machine learning: A case study in KSA.

PloS one Feb 11, 2025
The rising prevalence of Type 2 Diabetes (T2D) in Saudi Arabia presents significant healthcare challenges. Estimating the age at onset of T2D can aid early interventions, potentially reducing complications due to late diagnoses. This study, conducted...
Adult Male Linear Models Neural Networks, Computer Female Middle Aged Saudi Arabia Humans Machine Learning Aged Diabetes Mellitus, Type 2 Aged, 80 and over Age of Onset
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

PloS one Feb 7, 2025
BACKGROUND: Under-5 mortality remains a critical social indicator of a country's development and economic sustainability, particularly in developing nations like Bangladesh. This study employs machine learning models, including Linear Regression, Rid...
Child Mortality Infant Mortality Linear Models Bangladesh Humans Machine Learning Infant Female Forecasting Child, Preschool Infant, Newborn Bayes Theorem Male
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A novel artificial intelligence framework to quantify the impact of clinical compared with nonclinical influences on postoperative length of stay.

Surgery Jan 31, 2025
BACKGROUND: The relative proportion of clinical compared with nonclinical influences on length of stay after colectomy has never been measured. We developed a novel machine-learning framework that quantifies the proportion of length of stay after col...
Colectomy Middle Aged Length of Stay Linear Models Neural Networks, Computer Artificial Intelligence Machine Learning Aged Male Retrospective Studies Female Humans
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Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression.

Journal of biomechanics Jan 30, 2025
The purpose of this study was to investigate the utility of neural networks to estimate the hip joint center location in sheep and compare the accuracy of neural networks to previously developed linear regression models. CT scans from 16 sheep of var...
Tomography, X-Ray Computed Female Neural Networks, Computer Linear Models Hip Joint Animals Male Sheep
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Comparative analysis of kidney function prediction: traditional statistical methods vs. deep learning techniques.

Clinical and experimental nephrology Jan 15, 2025
BACKGROUND: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinica...
Male Middle Aged Deep Learning Kidney Humans Prospective Studies Female Databases, Factual Predictive Value of Tests Aged Renal Insufficiency, Chronic Japan Registries Glomerular Filtration Rate Linear Models Longitudinal Studies
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A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data.

PLoS computational biology Jan 10, 2025
Transfer learning aims to integrate useful information from multi-source datasets to improve the learning performance of target data. This can be effectively applied in genomics when we learn the gene associations in a target tissue, and data from ot...
Algorithms Computer Simulation Gene Expression Profiling Databases, Genetic Linear Models Genomics Computational Biology Humans Machine Learning
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