AIMC Topic: Decision Trees

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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. ...
Deep Learning Thyroid Diseases Thyroid Gland Support Vector Machine Decision Trees Neural Networks, Computer Machine Learning Female Humans
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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...
Algorithms Genotype Decision Trees High-Throughput Nucleotide Sequencing Humans Glaucoma Machine Learning
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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...
Logistic Models Support Vector Machine Decision Trees Cardiovascular Diseases Risk Assessment China Humans Algorithms
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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...
Machine Learning Female Adult Humans Decision Trees Area Under Curve Bayes Theorem Hepacivirus Male Middle Aged Support Vector Machine Hepatitis C Early Diagnosis
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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 Metabolic Syndrome Decision Trees Middle Aged Primary Health Care Fatty Liver Female Risk Factors Aged Cross-Sectional Studies Male Humans Artificial Intelligence Young Adult Algorithms Adult
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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.

Anais da Academia Brasileira de Ciencias Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Data Mining Coronary Disease Humans Machine Learning Algorithms Decision Trees Bayes Theorem Female Male
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Jun 2, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
Aged Male Middle Aged Acute Kidney Injury Intensive Care Units Female Decision Trees Bayes Theorem Delirium Humans Sepsis Machine Learning ROC Curve Logistic Models
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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis.

Scientific reports Jun 2, 2025
Diabetes Mellitus is a chronic metabolic disorder affecting a substantial global population leading to complications such as retinopathy, nephropathy, neuropathy, foot problems, heart attacks, and strokes if left unchecked. Prompt detection and diagn...
Middle Aged Glycated Hemoglobin Aged Humans Adult Diabetes Mellitus Neural Networks, Computer Male Decision Trees Female
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Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.

Nutrients May 31, 2025
BACKGROUND: Classification trees (CTs) are widely used machine learning algorithms with growing applications in clinical research, especially for risk stratification. Their ability to generate interpretable decision rules makes them attractive to hea...
Humans Machine Learning Algorithms Risk Assessment Obesity Critical Illness Intensive Care Units Decision Trees Critical Care Obesity Paradox
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Scientific reports May 29, 2025
Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads towards higher complexity in classification process...
Image Processing, Computer-Assisted Lung Neoplasms Decision Trees Machine Learning Algorithms Tomography, X-Ray Computed Humans
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