AIMC Topic: Models, Statistical

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Population pharmacokinetic model selection assisted by machine learning.

Journal of pharmacokinetics and pharmacodynamics Oct 27, 2021
A fit-for-purpose structural and statistical model is the first major requirement in population pharmacometric model development. In this manuscript we discuss how this complex and computationally intensive task could benefit from supervised machine ...
Algorithms Neural Networks, Computer Models, Statistical Machine Learning
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A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19.

Scientific reports Oct 27, 2021
The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models have been validated but few of them are implemented in daily practice. The objective of the study was to validate a machine-learning risk prediction mo...
Oxygen Blood Chemical Analysis Blood Cell Count Hospital Mortality ROC Curve Models, Statistical Multivariate Analysis Rome Risk Factors Aged Aged, 80 and over Male Middle Aged Cohort Studies COVID-19 Female SARS-CoV-2 Humans Machine Learning Pandemics
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Hollow-tree super: A directional and scalable approach for feature importance in boosted tree models.

PloS one Oct 25, 2021
PURPOSE: Current limitations in methodologies used throughout machine-learning to investigate feature importance in boosted tree modelling prevent the effective scaling to datasets with a large number of features, particularly when one is investigati...
Models, Statistical Databases, Factual Humans Schizophrenia Brain Machine Learning Computational Biology Algorithms
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Epistemic uncertainty quantification in deep learning classification by the Delta method.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2021
The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters P. We propose a low cost approximation of the Del...
Neural Networks, Computer Deep Learning Models, Statistical Probability Uncertainty
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Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.

BMJ (Clinical research ed.) Oct 20, 2021
OBJECTIVE: To assess the methodological quality of studies on prediction models developed using machine learning techniques across all medical specialties.
Machine Learning Models, Statistical Data Interpretation, Statistical Bias Humans Multivariate Analysis Risk Clinical Decision Rules
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Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2021
It is one of the ultimate goals of ethology to understand the generative process of animal behavior, and the ability to reproduce and control behavior is an important step in this field. However, it is not easy to achieve this goal in systems with co...
Models, Statistical Neural Networks, Computer Behavior, Animal Learning Caenorhabditis elegans Animals
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Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
China Spatial Regression Cities Computational Biology Communicable Diseases Humans Reproducibility of Results SARS-CoV-2 Machine Learning Environmental Monitoring Social Class COVID-19 Models, Statistical Geography Algorithms Least-Squares Analysis Climate Epidemics
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Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

PLoS computational biology Oct 11, 2021
Most predictive models based on gene expression data do not leverage information related to gene splicing, despite the fact that splicing is a fundamental feature of eukaryotic gene expression. Cigarette smoking is an important environmental risk fac...
Middle Aged Humans Gene Expression Profiling ROC Curve Models, Statistical Female Deep Learning Protein Isoforms RNA-Seq Smoking Exons Computational Biology Aged Male
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AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Anti-inflammatory peptides (AIEs) have recently emerged as promising therapeutic agent for treatment of various inflammatory diseases, such as rheumatoid arthritis and Alzheimer's disease. Therefore, detecting the correlation between amino acid seque...
Models, Statistical Anti-Inflammatory Agents Amino Acid Sequence Sequence Analysis, Protein Peptides Drug Discovery Computational Biology Machine Learning Algorithms
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Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure-Activity Relationship System.

International journal of molecular sciences Oct 6, 2021
In silico approaches have been studied intensively to assess the toxicological risk of various chemical compounds as alternatives to traditional in vivo animal tests. Among these approaches, quantitative structure-activity relationship (QSAR) analysi...
Deep Learning Models, Statistical Pharmaceutical Preparations Humans Receptors, Cytoplasmic and Nuclear Quantitative Structure-Activity Relationship Algorithms Toxicity Tests Computer Simulation
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