AIMC Topic: 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...
Middle Aged Saudi Arabia Diabetes Mellitus, Type 2 Age of Onset Linear Models Humans Aged Aged, 80 and over Neural Networks, Computer Adult Machine Learning Male Female
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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...
Humans Infant Mortality Machine Learning Linear Models Forecasting Female Infant Bangladesh Infant, Newborn Child, Preschool Male Bayes Theorem Child Mortality
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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...
Retrospective Studies Female Aged Male Middle Aged Length of Stay Linear Models Colectomy Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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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...
Sheep Linear Models Hip Joint Neural Networks, Computer Tomography, X-Ray Computed Female Animals Male
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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...
Aged Male Middle Aged Deep Learning Databases, Factual Prospective Studies Female Kidney Humans Predictive Value of Tests Renal Insufficiency, Chronic Registries Glomerular Filtration Rate Japan Longitudinal Studies Linear Models
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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...
Humans Machine Learning Algorithms Computational Biology Computer Simulation Databases, Genetic Gene Expression Profiling Linear Models Genomics
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A hybrid network using transformer with modified locally linear embedding and sliding window convolution for EEG decoding.

Journal of neural engineering Jan 6, 2025
. Brain-computer interface(BCI) is leveraged by artificial intelligence in EEG signal decoding, which makes it possible to become a new means of human-machine interaction. However, the performance of current EEG decoding methods is still insufficient...
Neural Networks, Computer Algorithms Electroencephalography Signal Processing, Computer-Assisted Linear Models Brain-Computer Interfaces Imagination Humans
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Analyzing Secondary Cancer Risk: A Machine Learning Approach.

Asian Pacific journal of cancer prevention : APJCP Jan 1, 2025
OBJECTIVE: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Additionally, cancer survivors need to understand the potential risk of developing secondary cancer (SC), which can be influenced by several factors incl...
Female Risk Factors Breast Neoplasms Risk Assessment Humans Machine Learning Prognosis Cancer Survivors Lung Neoplasms Colonic Neoplasms Linear Models Neoplasms, Second Primary
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Do machine learning methods solve the main pitfall of linear regression in dental age estimation?

Forensic science international Dec 20, 2024
INTRODUCTION: Age estimation is crucial in forensic and anthropological fields. Teeth, are valued for their resilience to environmental factors and their preservation over time, making them essential for age estimation when other skeletal remains det...
Support Vector Machine Male Bayes Theorem Humans White People Adolescent Radiography, Panoramic Machine Learning Child, Preschool Linear Models South Africa Female Age Determination by Teeth Child Black People
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Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose.

BMC medical research methodology Dec 20, 2024
BACKGROUND: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and m...
Prospective Studies Female Aged Diabetes Mellitus, Type 2 Humans Adult Longitudinal Studies Male Neural Networks, Computer Linear Models Middle Aged Machine Learning Fasting Blood Glucose
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