AIMC Topic: Decision Trees

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MultiOmicsAgent: Guided Extreme Gradient-Boosted Decision Trees-Based Approaches for Biomarker-Candidate Discovery in Multiomics Data.

Journal of proteome research May 25, 2025
MultiOmicsAgent (MOAgent) is an innovative, Python-based open-source tool for biomarker discovery, utilizing machine learning techniques, specifically extreme gradient-boosted decision trees, to process multiomics data. With its cross-platform compat...
Humans Multiomics Proteomics Decision Trees Machine Learning Software Biomarkers
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Predicting and Evaluating Cognitive Status in Aging Populations Using Decision Tree Models.

American journal of Alzheimer's disease and other dementias May 5, 2025
To improve the identification of cognitive impairment by distinguishing normal cognition (NC), mild cognitive impairment (MCI), and Alzheimer's disease (AD). A recursive partitioning tree model was developed using ARMADA data and the NIH Toolbox, a...
Male Female Humans Alzheimer Disease Aging Aged Neuropsychological Tests Middle Aged Aged, 80 and over Cognitive Dysfunction Machine Learning Cognition Decision Trees
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The data analysis of sports training by ID3 decision tree algorithm and deep learning.

Scientific reports Apr 29, 2025
In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. As an important scientific ...
Athletic Performance Sports Deep Learning Decision Trees Humans Data Analysis Algorithms
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Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.

BMC pediatrics Apr 22, 2025
BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose diseases, especially in young children with conditions such as anemia. Delays in diagnosis and treatment can have severe consequences, potentially leading ...
Support Vector Machine Ethiopia Decision Trees Health Surveys ROC Curve Logistic Models Bayes Theorem Anemia Machine Learning Algorithms Female Male Infant Child, Preschool Humans
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A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.

PeerJ Apr 14, 2025
BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown p...
Machine Learning Retrospective Studies Female Rotavirus Infections Humans Decision Trees Diarrhea Gastroenteritis Male Bayes Theorem India Infant Rotavirus Support Vector Machine Child, Preschool
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Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data.

BMC oral health Apr 11, 2025
OBJECTIVE: This study evaluates the performance of various classifiers and pre-trained models for dental implant state classification using preprocessed radiography images with masks.
Convolutional Neural Networks Image Processing, Computer-Assisted Support Vector Machine Humans Decision Trees Dental Implants
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DTreePred: an online viewer based on machine learning for pathogenicity prediction of genomic variants.

BMC bioinformatics Apr 9, 2025
BACKGROUND: A significant challenge in precision medicine is confidently identifying mutations detected in sequencing processes that play roles in disease treatment or diagnosis. Furthermore, the lack of representativeness of single nucleotide varian...
Genomics Decision Trees Machine Learning Mutation Humans Software Genetic Variation Algorithms
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Predicting and investigating water quality index by robust machine learning methods.

Journal of environmental management Apr 3, 2025
This study addresses the critical challenges of waste management and water quality in urban environments, where accelerated urbanization has exacerbated environmental degradation and public health risks. Employing advanced machine learning algorithms...
Water Quality Waste Management Machine Learning Environmental Monitoring Support Vector Machine Algorithms Decision Trees
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Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach.

PloS one Apr 2, 2025
Hepatitis is a widespread inflammatory condition of the liver, presenting a formidable global health challenge. Accurate and timely detection of hepatitis is crucial for effective patient management, yet existing methods exhibit limitations that unde...
Machine Learning Prognosis Logistic Models Support Vector Machine Decision Trees Hepatitis Humans
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Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models.

PloS one Apr 2, 2025
Premature birth can be defined as birth before 37 weeks of gestation, which is a significant global health issue, being the main cause for neonatal deaths. In this work, we evaluate machine learning models for predicting premature birth using Brazili...
Adult Brazil Decision Trees Female Humans Infant, Newborn Machine Learning Premature Birth Pregnancy
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