AIMC Topic: Linear Models

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Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Learning Algorithms: A Prospective Cohort Study.

Journal of applied gerontology : the official journal of the Southern Gerontological Society Aug 6, 2024
This study aimed to develop and validate prediction models for incident reversible cognitive frailty (RCF) based on social-ecological predictors. Older adults aged ≥60 years from China Health and Retirement Longitudinal Study (CHARLS) 2011-2013 surve...
Aged, 80 and over Male Middle Aged Female Risk Factors Aged Longitudinal Studies Frailty Frail Elderly Linear Models Risk Assessment China Cognitive Dysfunction Algorithms Prospective Studies Humans Machine Learning
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Artificial Intelligence Machine Learning Algorithms Versus Standard Linear Demographic Analysis in Predicting Implant Size of Anatomic and Reverse Total Shoulder Arthroplasty.

Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews Aug 1, 2024
BACKGROUND: Accurate and precise templating is paramount for anatomic total shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RSA) to enhance preoperative planning, streamline surgery, and improve implant positioning. We aimed to e...
Machine Learning Algorithms Retrospective Studies Female Humans Artificial Intelligence Shoulder Joint Arthroplasty, Replacement, Shoulder Shoulder Prosthesis Middle Aged Aged Prosthesis Design Linear Models Aged, 80 and over Male
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Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
This paper deals with the lag projective synchronization (LPS) problem for a class of discrete-time fractional-order quaternion-valued neural networks(DTFO QVNNs) systems with time delays. Firstly, a DTFOQVNNs system with time delay is constructed. S...
Time Factors Nonlinear Dynamics Linear Models Algorithms Computer Simulation Feedback Neural Networks, Computer
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Prediction of retention data of phenolic compounds by quantitative structure retention relationship models under reverse-phase liquid chromatography.

Journal of chromatography. A Jul 9, 2024
Quantitative Structure-Retention Relationship models were developed to identify phenolic compounds using a typical LC- system, with both UV and MS detection. A new chromatographic method was developed for the separation of fifty-two standard phenolic...
Chromatography, High Pressure Liquid Linear Models Chromatography, Reverse-Phase Phenols Least-Squares Analysis Models, Chemical Quantitative Structure-Activity Relationship Neural Networks, Computer Algorithms Flavonoids
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Predicting the governing factors for the release of colloidal phosphorus using machine learning.

Chemosphere Jun 27, 2024
Predicting the parameters that influence colloidal phosphorus (CP) release from soils under different land uses is critical for managing the impact on water quality. Traditional modeling approaches, such as linear regression, may fail to represent th...
Machine Learning Soil Pollutants Iron Soil Environmental Monitoring Phosphorus Linear Models Colloids
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Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 13, 2024
Multimodal physiological signals play a pivotal role in drivers' perception of work stress. However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection chal...
Cognition Humans Linear Models Attention Electroencephalography Algorithms Heart Rate Entropy Supervised Machine Learning Male Automobile Driving Uncertainty
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Chaotic neural network algorithm with competitive learning integrated with partial Least Square models for the prediction of the toxicity of fragrances in sanitizers and disinfectants.

The Science of the total environment Jun 5, 2024
This study addresses the need for accurate structural data regarding the toxicity of fragrances in sanitizers and disinfectants. We compare the predictive and descriptive (model stability) potential of multiple linear regression (MLR) and partial lea...
Perfume Disinfectants Linear Models Neural Networks, Computer Algorithms Least-Squares Analysis
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Combined interaction of fungicides binary mixtures: experimental study and machine learning-driven QSAR modeling.

Scientific reports Jun 3, 2024
Fungicide mixtures are an effective strategy in delaying the development of fungicide resistance. In this research, a fixed ratio ray design method was used to generate fifty binary mixtures of five fungicides with diverse modes of action. The intera...
Linear Models Quantitative Structure-Activity Relationship Support Vector Machine Fungicides, Industrial Neural Networks, Computer Machine Learning
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Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 28, 2024
Growth period determination and color coordinates prediction are essential for comparing postharvest fruit quality. This paper proposes a tomato growth period judgment and color coordinates prediction model based on hyperspectral imaging technology. ...
Least-Squares Analysis Discriminant Analysis Linear Models Algorithms Solanum lycopersicum Support Vector Machine Color Fruit Principal Component Analysis Hyperspectral Imaging
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Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks.

Journal of affective disorders May 23, 2024
INTRODUCTION: Ecological Momentary Assessment (EMA) holds promise for providing insights into daily life experiences when studying mental health phenomena. However, commonly used mixed-effects linear statistical models do not fully utilize the richne...
Humans Borderline Personality Disorder Suicidal Ideation Neural Networks, Computer Ecological Momentary Assessment Linear Models Female Adaptation, Psychological Young Adult Adult Male
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