AIMC Topic: Models, Statistical

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From statistics to deep learning: Using large language models in psychiatric research.

International journal of methods in psychiatric research Mar 1, 2025
BACKGROUND: Large Language Models (LLMs) hold promise in enhancing psychiatric research efficiency. However, concerns related to bias, computational demands, data privacy, and the reliability of LLM-generated content pose challenges. GAP: Existing st...
Humans Psychiatry Biomedical Research Deep Learning Models, Statistical
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A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data.

Statistics in medicine Feb 28, 2025
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiveness (VE), has recently become integral to COVID-19 vaccine surveillance, notably in Québec, Canada. Some studies have addressed the identifiability ...
Humans Machine Learning Aged Middle Aged COVID-19 SARS-CoV-2 Vaccine Efficacy COVID-19 Vaccines Models, Statistical Quebec
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Challenges for Predictive Modeling With Neural Network Techniques Using Error-Prone Dietary Intake Data.

Statistics in medicine Feb 28, 2025
Dietary intake data are routinely drawn upon to explore diet-health relationships, and inform clinical practice and public health. However, these data are almost always subject to measurement error, distorting true diet-health relationships. Beyond m...
Machine Learning Diet Models, Statistical Humans Neural Networks, Computer
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Estimating Average Treatment Effects With Support Vector Machines.

Statistics in medicine Feb 28, 2025
Support vector machine (SVM) is one of the most popular classification algorithms in the machine learning literature. We demonstrate that SVM can be used to balance covariates and estimate average causal effects under the unconfoundedness assumption....
Support Vector Machine Models, Statistical Sample Size Computer Simulation Treatment Outcome Humans Algorithms
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AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

Mathematical biosciences and engineering : MBE Feb 24, 2025
In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory diseases is challenging due to similar symptoms and the prevalence of comorbidities. In Yemen, acute comorbidities further complicate the differentiation bet...
Yemen Models, Statistical Decision Trees Respiratory Tract Diseases Severity of Illness Index Deep Learning Support Vector Machine Algorithms Forecasting SARS-CoV-2 Humans Comorbidity Artificial Intelligence Machine Learning Pandemics COVID-19
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The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study.

Statistics in medicine Feb 10, 2025
INTRODUCTION: Risk prediction models are increasingly used in healthcare to aid in clinical decision-making. In most clinical contexts, model calibration (i.e., assessing the reliability of risk estimates) is critical. Data available for model develo...
Humans Machine Learning Algorithms Models, Statistical Monte Carlo Method Computer Simulation Reproducibility of Results Risk Assessment
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Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data.

Nucleic acids research Feb 8, 2025
Rates of transcription elongation vary within and across eukaryotic gene bodies. Here, we introduce new methods for predicting elongation rates from nascent RNA sequencing data. First, we devise a probabilistic model that predicts nucleotide-specific...
Transcription Elongation, Genetic Machine Learning RNA Splice Sites Sequence Analysis, RNA Histone Code CCCTC-Binding Factor Epigenomics Histones Binding Sites DNA Methylation Models, Statistical Humans Neural Networks, Computer
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Individualized multi-treatment response curves estimation using RBF-net with shared neurons.

Biometrics Jan 7, 2025
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
Statistics, Nonparametric Length of Stay Computer Simulation Sepsis Organ Dysfunction Scores Precision Medicine Humans Treatment Outcome Monte Carlo Method Neural Networks, Computer Intensive Care Units Models, Statistical Biometry Algorithms Bayes Theorem Markov Chains
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Modeling of injury severity of distracted driving accident using statistical and machine learning models.

PloS one Jan 1, 2025
Distracted Driving (DD) is one of the global causes of high mortality and fatality in road traffic accidents. The increase in the number of distracted driving accidents (DDAs) is one of the concerns among transportation communities. The present study...
Adult Male Adolescent Machine Learning Female Young Adult Accidents, Traffic India Humans Automobile Driving Logistic Models Wounds and Injuries Models, Statistical Distracted Driving
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation?

PloS one Jan 1, 2025
PURPOSE: We aim to evaluate various proxy selection methods within the context of high-dimensional propensity score (hdPS) analysis. This study aimed to systematically evaluate and compare the performance of traditional statistical methods and machin...
Computer Simulation Nutrition Surveys Models, Statistical Humans Propensity Score Machine Learning Algorithms Bias Multivariate Analysis
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