AIMC Topic: Decision Trees

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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Humans Machine Learning Decision Trees Principal Component Analysis Bias Coronary Disease Algorithms Male Support Vector Machine
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Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns.

BMC oral health Jul 26, 2025
BACKGROUND: Craniofacial phenotyping is essential for individualized orthodontic diagnosis and treatment planning. Traditional skeletal classifications, such as the ANB angle, may oversimplify complex relationships among malocclusion types. Machine l...
Malocclusion Humans Female Machine Learning Male Algorithms Child Adolescent Decision Trees Cluster Analysis Cephalometry
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Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery.

BMC anesthesiology Jul 17, 2025
BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause significant challenges to perioperative workflow. We describe the development of a machine-learning derived model to predict UIAs using only widely u...
Humans Machine Learning Aged Adult Male Middle Aged Retrospective Studies Intensive Care Units Female Postoperative Complications Decision Trees Patient Admission
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Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy.

Journal of medical economics Jul 11, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third most common cause of cancer-related death. Cirrhosis is a major contributing factor, accounting for over 90% of HCC cases. With the high mortality rate...
Aged Male Middle Aged Liver Cirrhosis Magnetic Resonance Imaging Liver Neoplasms Carcinoma, Hepatocellular Cost-Benefit Analysis Markov Chains Humans Quality-Adjusted Life Years Early Detection of Cancer Artificial Intelligence Cost-Effectiveness Analysis Decision Trees Italy Female
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Improved bio-inspired with machine learning computing approach for thyroid prediction.

Scientific reports Jul 2, 2025
Thyroid illness is widely recognised as a prevalent health condition that can result in a range of health disorders. Thyroid illnesses, namely hypothyroidism and hyperthyroidism, are widespread worldwide and present considerable health consequences. ...
Support Vector Machine Decision Trees Humans Neural Networks, Computer Machine Learning Thyroid Diseases Thyroid Gland Female Deep Learning
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GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Scientific reports Jul 2, 2025
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used Next Generation Sequencing (NGS) whole-exome data to create a categorization framework using machine...
High-Throughput Nucleotide Sequencing Algorithms Genotype Decision Trees Glaucoma Machine Learning Humans
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Prediction of cardiovascular diseases based on GBDT+LR.

Scientific reports Jul 1, 2025
Currently, there are over 300 million patients with cardiovascular diseases in China. With the acceleration of population aging, the impact of cardiovascular diseases is becoming increasingly severe. Accurately and efficiently predicting the potentia...
China Logistic Models Support Vector Machine Decision Trees Algorithms Cardiovascular Diseases Risk Assessment Humans
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A hybrid machine learning model for predicting agricultural production costs: Integrating economic sensitivity analysis and environmental factors in Egypt.

Journal of environmental management Jun 28, 2025
Accurate prediction of agricultural production costs is crucial for sustainable development in Egypt, where productivity is highly sensitive to fluctuating economic and environmental conditions. This study introduces a hybrid machine learning model t...
Decision Trees Egypt Machine Learning Agriculture
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

PloS one Jun 26, 2025
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy o...
Hepacivirus Hepatitis C Early Diagnosis Humans Support Vector Machine Machine Learning Area Under Curve Adult Decision Trees Female Bayes Theorem Male Middle Aged
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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas Jun 16, 2025
Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed. Thus, SLD-related variables were verified using a decision tree. We tested if the suggested components of the actual classification (metabolic dysfun...
Body Mass Index Young Adult Female Primary Health Care Metabolic Syndrome Humans Risk Factors Male Adult Decision Trees Artificial Intelligence Fatty Liver Aged Middle Aged Cross-Sectional Studies Algorithms
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