AIMC Topic: Decision Trees

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Clustering and classification for dry bean feature imbalanced data.

Scientific reports Dec 28, 2024
The traditional machine learning methods such as decision tree (DT), random forest (RF), and support vector machine (SVM) have low classification performance. This paper proposes an algorithm for the dry bean dataset and obesity levels dataset that c...
Support Vector Machine Fabaceae Cluster Analysis Obesity Humans Decision Trees Machine Learning Algorithms
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Machine learning to predict the decision to perform surgery in hepatic echinococcosis.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 19, 2024
BACKGROUND: Cystic echinococcosis (CE) is a significant public health issue, primarily affecting the liver. While several management strategies exist, there is a lack of predictive tools to guide surgical decisions for hepatic CE. This study aimed to...
Adult Male Middle Aged Risk Assessment Retrospective Studies Decision Trees Humans Clinical Decision-Making Predictive Value of Tests Machine Learning Female Hepatectomy Decision Support Techniques Aged Echinococcosis, Hepatic
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Enhancing decision-making in tubal ectopic pregnancy using a machine learning approach to expectant management: a clinical article.

BMC pregnancy and childbirth Dec 19, 2024
OBJECTIVE: To refine decision-making regarding expectant management for ectopic pregnancy (EP) using machine learning.
Chorionic Gonadotropin, beta Subunit, Human Decision Trees Watchful Waiting Pregnancy, Tubal Clinical Decision-Making Humans Pregnancy Machine Learning Female Retrospective Studies Adult
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Exploring machine learning algorithms to predict not using modern family planning methods among reproductive age women in East Africa.

BMC health services research Dec 18, 2024
BACKGROUND: The use of the modern family planning method provides chances for women to reach optimal child spacing, increase quality of life, increase economic status, achieve the desired family size, and prevent unsafe abortions and maternal and per...
Humans Machine Learning Algorithms Female Decision Trees Young Adult Africa, Eastern Adult Family Planning Services Middle Aged Adolescent
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Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters.

BMC anesthesiology Dec 18, 2024
BACKGROUND: To protect patients during anesthesia, difficult airway management is a serious issue that needs to be carefully planned for and carried out. Machine learning prediction tools have recently become increasingly common in medicine, frequent...
Intubation, Intratracheal Machine Learning Algorithms Decision Trees Female Humans Iran Adult Cross-Sectional Studies Airway Management Male Middle Aged Support Vector Machine
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Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques.

Environmental science and pollution research international Dec 16, 2024
Wastewater treatment plants in Coimbatore South are under pressure from rapid urbanization, inadequate infrastructure, and industrial pollution, leading to environmental and public health concerns. This study aimed to identify suitable locations for ...
Waste Disposal, Fluid Environmental Monitoring Decision Trees Remote Sensing Technology Machine Learning Wastewater Geographic Information Systems
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Aged, 80 and over Male Middle Aged Risk Assessment Female Reproducibility of Results Humans Risk Factors Aged Artificial Intelligence Aortic Aneurysm, Abdominal Case-Control Studies Decision Support Techniques Computed Tomography Angiography Decision Trees Prognosis Aortography Denmark Retrospective Studies Aortic Rupture Predictive Value of Tests
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Glaucoma detection: Binocular approach and clinical data in machine learning.

Artificial intelligence in medicine Dec 12, 2024
In this work, we present a multi-modal machine learning method to automate early glaucoma diagnosis. The proposed methodology introduces two novel aspects for automated diagnosis not previously explored in the literature: simultaneous use of ocular f...
Machine Learning Decision Trees Fundus Oculi Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Glaucoma
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Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?

International journal of legal medicine Dec 7, 2024
Fall from a height trauma is characterized by a multiplicity of injuries, related to multiple factors. The height of the fall is the factor that most influences the kinetic energy of the body and appears to be one of the factors that most affects the...
Adult Male Middle Aged Accidental Falls Retrospective Studies Female Aged Young Adult Wounds and Injuries Adolescent Decision Trees Principal Component Analysis Linear Models Humans Artificial Intelligence Machine Learning Algorithms
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Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study.

JMIR formative research Dec 5, 2024
BACKGROUND: While deep learning classifiers have shown remarkable results in detecting chest X-ray (CXR) pathologies, their adoption in clinical settings is often hampered by the lack of transparency. To bridge this gap, this study introduces the neu...
Humans Neural Networks, Computer Algorithms Decision Trees Area Under Curve Male Radiography, Thoracic Middle Aged Deep Learning Female ROC Curve Aged Adult
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