AIMC Topic: Linear Models

Clear Filters Showing 31 to 40 of 571 articles

Application of machine-learning methods in age-at-death estimation from 3D surface scans of the adult acetabulum.

Forensic science international Oct 28, 2024
OBJECTIVE: Age-at-death estimation is usually done manually by experts. As such, manual estimation is subjective and greatly depends on the past experience and proficiency of the expert. This becomes even more critical if experts need to evaluate ind...
Humans Machine Learning Software Female Acetabulum Linear Models Age Determination by Skeleton Forensic Anthropology Adult Male Middle Aged Imaging, Three-Dimensional Aged Aged, 80 and over Young Adult
View on PubMed DOI

Prognostic insights after surgery for advances in understanding signet ring cell gastric cancer: a machine learning approach.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Oct 3, 2024
BACKGROUND: Signet ring cell (SRC) gastric carcinoma is traditionally associated with a poor prognosis. However, the literature has presented contradictory results. Linear models are the standard statistical tools typically used to study these condit...
Adult Stomach Neoplasms Survival Rate Male Female Humans Aged Machine Learning Aged, 80 and over Neoplasm Recurrence, Local Prognosis Carcinoma, Signet Ring Cell Retrospective Studies Gastrectomy Middle Aged Linear Models Lymphatic Metastasis Lymph Node Excision Neoplasm Staging
View on PubMed DOI

scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks.

Interdisciplinary sciences, computational life sciences Sep 30, 2024
Cancer is a significant global public health concern, where early detection can greatly enhance curative outcomes. Therefore, the identification of cancer cells holds significant importance as the primary method for cancer diagnosis. The advancement ...
Computational Biology Bayes Theorem Algorithms Linear Models Humans Neoplasms Neural Networks, Computer Single-Cell Analysis
View on PubMed DOI

Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries.

Journal of the science of food and agriculture Sep 18, 2024
BACKGROUND: Strawberry is a rich source of antioxidants, including ascorbic acid (ASA) and polyphenols, which have numerous health benefits. Antioxidant content and activity are often determined manually using laboratory equipment, which is destructi...
Machine Learning Antioxidants Plant Extracts Polyphenols Ascorbic Acid Fruit Linear Models Fragaria Neural Networks, Computer
View on PubMed DOI

Comparison of machine learning algorithms and multiple linear regression for live weight estimation of Akkaraman lambs.

Tropical animal health and production Sep 3, 2024
This study was designed to predict the post-weaning weights of Akkaraman lambs reared on different farms using multiple linear regression and machine learning algorithms. The effect of factors the age of the dam, gender, type of lambing, enterprise, ...
Animals Male India Birth Weight Machine Learning Algorithms Female Body Weight Sheep Linear Models Sheep, Domestic
View on PubMed DOI

SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data.

Magma (New York, N.Y.) Aug 29, 2024
OBJECTIVE: Despite the prevalent use of the general linear model (GLM) in fMRI data analysis, assuming a pre-defined hemodynamic response function (HRF) for all voxels can lead to reduced reliability and may distort the inferences derived from it. To...
Male Hemodynamics ROC Curve Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Female Neural Networks, Computer Brain Mapping Reproducibility of Results Algorithms Linear Models Adult Brain
View on PubMed DOI

Comparison of machine learning methods for genomic prediction of selected Arabidopsis thaliana traits.

PloS one Aug 28, 2024
We present a comparison of machine learning methods for the prediction of four quantitative traits in Arabidopsis thaliana. High prediction accuracies were achieved on individuals grown under standardized laboratory conditions from the 1001 Arabidops...
Quantitative Trait Loci Quantitative Trait, Heritable Genomics Arabidopsis Neural Networks, Computer Models, Genetic Machine Learning Linear Models Phenotype Genome, Plant
View on PubMed DOI

Analyzing the heterogenous effects of factors on high-range speeding likelihood of taxi speeders: Does explainable deep learning provides more insights than random parameter approach?

Accident; analysis and prevention Aug 24, 2024
The random parameters Generalized Linear Model (GLM) is frequently used to model speeding characteristics and capture the heterogenous effects of factors. However, this statistical approach is seldom employed for prediction and generalization due to ...
Linear Models Risk-Taking Neural Networks, Computer Deep Learning Humans Accidents, Traffic Automobile Driving
View on PubMed DOI

Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.

Journal of clinical monitoring and computing Aug 20, 2024
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. This study aims to evaluate whether ANN can calculate minute volume during spontaneous breathing after being trained using data from an animal model of...
Hydrogen-Ion Concentration Carbon Dioxide Linear Models Lactic Acid Body Temperature Respiration Proof of Concept Study Blood Gas Analysis Algorithms Animals Swine Disease Models, Animal Acidosis, Lactic Neural Networks, Computer Brain Stem
View on PubMed DOI

Elevating hourly PM forecasting in Istanbul, Türkiye: Leveraging ERA5 reanalysis and genetic algorithms in a comparative machine learning model analysis.

Chemosphere Aug 13, 2024
Rapid urbanization and industrialization have intensified air pollution, posing severe health risks and necessitating accurate PM predictions for effective urban air quality management. This study distinguishes itself by utilizing high-resolution ERA...
Air Pollutants Algorithms Turkey Machine Learning Forecasting Air Pollution Linear Models Cities Particulate Matter Environmental Monitoring Seasons
View on PubMed DOI
Popular Topics
Recent Journals