AIMC Topic: Phenotype

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A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.

Journal of sleep research Oct 24, 2024
Obstructive sleep apnea is a heterogeneous sleep disorder with varying phenotypes. Several studies have already performed cluster analyses to discover various obstructive sleep apnea phenotypic clusters. However, the selection of the clustering metho...
Humans Phenotype Female Adult Cluster Analysis Unsupervised Machine Learning Sleep Apnea, Obstructive Polysomnography Male Middle Aged Fuzzy Logic
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Tracing the path from preschool wheezing to asthma.

Pediatric pulmonology Oct 3, 2024
This short review illustrates, using two recent studies, the potential and challenges of using machine learning methods to identify phenotypes of wheezing and asthma from childhood onwards.
Child, Preschool Child Respiratory Sounds Phenotype Asthma Humans Machine Learning
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Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations.

Genetic epidemiology Sep 30, 2024
Transcriptome-wide association studies (TWAS) aim to uncover genotype-phenotype relationships through a two-stage procedure: predicting gene expression from genotypes using an expression quantitative trait locus (eQTL) data set, then testing the pred...
Humans Quantitative Trait Loci Phenotype Polymorphism, Single Nucleotide Transcriptome Genotype Models, Genetic Deep Learning Gene Expression Genome-Wide Association Study
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Valid inference for machine learning-assisted genome-wide association studies.

Nature genetics Sep 30, 2024
Machine learning (ML) has become increasingly popular in almost all scientific disciplines, including human genetics. Owing to challenges related to sample collection and precise phenotyping, ML-assisted genome-wide association study (GWAS), which us...
Algorithms Phenotype Bone Density Genome-Wide Association Study Polymorphism, Single Nucleotide Humans Machine Learning
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European cross-cultural neuropsychological test battery (CNTB) for the assessment of cognitive impairment in multiple sclerosis: Cognitive phenotyping and classification supported by machine learning techniques.

Multiple sclerosis and related disorders Sep 25, 2024
BACKGROUND: The European Cross-Cultural Neuropsychological Test Battery (CNTB) has been proposed as a comprehensive battery for cognitive assessment, reducing the potential impact of cultural variables. In this validation study, we aimed to evaluate ...
Cross-Cultural Comparison Neuropsychological Tests Cognitive Dysfunction Europe Multiple Sclerosis Female Humans Adult Machine Learning Male Phenotype Middle Aged
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Abnormal phenotypic defects detection of jujube using explainable machine learning enhanced computer vision.

Journal of food science Sep 25, 2024
Jujube is susceptible to biotic and abiotic adversity stresses resulting in abnormal phenotypic defects. Therefore, abnormal phenotype fruits should be removed during postharvest sorting to increase added value. An improved maximum horizontal diamete...
Ziziphus Neural Networks, Computer Machine Learning Support Vector Machine Fruit Phenotype Logistic Models
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Identifying biological markers and sociodemographic factors that influence the gap between phenotypic and chronological ages.

Informatics for health & social care Sep 24, 2024
INTRODUCTION: The world's population is aging rapidly, leading to increased public health and economic burdens due to age-related cardiovascular and neurodegenerative diseases. Early risk detection is essential for prevention and to improve the quali...
Sociodemographic Factors Socioeconomic Factors Age Factors Sex Factors Aged Aged, 80 and over Adult Middle Aged Nutrition Surveys Male Aging Phenotype Biomarkers Female Humans Machine Learning
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Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

International journal of chronic obstructive pulmonary disease Sep 24, 2024
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the devel...
Predictive Value of Tests Molecular Docking Simulation Mendelian Randomization Analysis Gene Expression Profiling Biomarkers Drugs, Chinese Herbal Computational Biology Medicine, Chinese Traditional Transcriptome Databases, Genetic Pulmonary Disease, Chronic Obstructive Genetic Markers Ferroptosis Gene Regulatory Networks Humans Lung MicroRNAs Genetic Predisposition to Disease Machine Learning Phenotype
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Characterizing daily physical activity patterns with unsupervised learning via functional mixture models.

Journal of behavioral medicine Sep 21, 2024
Physical inactivity is a significant public health concern. Consideration of inter-individual variations in physical activity (PA) trends can provide additional information about the groups under study to aid intervention design. This study aims to i...
Humans Phenotype Female Male Middle Aged Exercise Cluster Analysis Aged Young Adult Adult Sedentary Behavior Unsupervised Machine Learning Bayes Theorem Accelerometry
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Methods for phenotyping adult patients with acute kidney injury: a systematic review.

Journal of nephrology Sep 16, 2024
BACKGROUND: Acute kidney injury (AKI) is a multifaceted disease characterized by diverse clinical presentations and mechanisms. Advances in artificial intelligence have propelled the identification of AKI subphenotypes, enhancing our capacity to cust...
Biomarkers Acute Kidney Injury Adult Humans Machine Learning Phenotype
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