AIMC Topic: Decision Trees

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An automated approach to identify sarcasm in low-resource language.

PloS one Dec 5, 2024
Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on...
Natural Language Processing Language Support Vector Machine Emotions Decision Trees Humans Machine Learning Algorithms
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ST-Tree with interpretability for multivariate time series classification.

Neural networks : the official journal of the International Neural Network Society Dec 3, 2024
Multivariate time series classification is of great importance in practical applications and is a challenging task. However, deep neural network models such as Transformers exhibit high accuracy in multivariate time series classification but lack int...
Time Factors Humans Decision Making Neural Networks, Computer Decision Trees Multivariate Analysis
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A fact based analysis of decision trees for improving reliability in cloud computing.

PloS one Dec 3, 2024
The popularity of cloud computing (CC) has increased significantly in recent years due to its cost-effectiveness and simplified resource allocation. Owing to the exponential rise of cloud computing in the past decade, many corporations and businesses...
Machine Learning Deep Learning Algorithms Decision Trees Reproducibility of Results Bayes Theorem Cloud Computing
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XGBoost as a reliable machine learning tool for predicting ancestry using autosomal STR profiles - Proof of method.

Forensic science international. Genetics Nov 29, 2024
The aim of this study was to test the validity of a predictive model of ancestry affiliation based on Short Tandem Repeat (STR) profiles. Frequencies of 29 genetic markers from the Promega website for four distinct population groups (African American...
Support Vector Machine Microsatellite Repeats Decision Trees Humans Genetics, Population Racial Groups Machine Learning DNA Fingerprinting Boosting Machine Learning Algorithms
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Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 25, 2024
BackgroundHealthcare institutions throughout the world rely on medical devices to provide their services reliably and effectively. However, medical devices can, and do sometimes fail. These failures pose significant risk to patients.ObjectiveOne way ...
Algorithms Support Vector Machine Humans Equipment Failure Equipment and Supplies Artificial Intelligence Decision Trees Product Surveillance, Postmarketing Machine Learning
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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Blood Vessel Prosthesis Implantation Male Decision Trees Risk Assessment Humans Middle Aged Endovascular Procedures Predictive Value of Tests Time Factors Machine Learning Endovascular Aneurysm Repair Aortic Aneurysm, Abdominal Treatment Outcome Decision Support Techniques Nutritional Status Retrospective Studies
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Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress.

BMC cancer Nov 21, 2024
BACKGROUND: Oxidative stress process plays a key role in aging and cancer; however, currently, there is paucity of machine-learning model studies investigating the relationship between oxidative stress and prognosis of elderly patients with esophagea...
Support Vector Machine Decision Trees Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Biomarkers, Tumor Male Oxidative Stress ROC Curve Aged Aged, 80 and over Survival Rate Machine Learning Prognosis Retrospective Studies Female Humans
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Development of machine learning models for predicting depressive symptoms in knee osteoarthritis patients.

Scientific reports Nov 19, 2024
Knee osteoarthritis (KOA) combined with depressive symptoms is prevalent and leads to poor outcomes and significant financial burdens. However, practical tools for identifying at-risk patients remain limited. A robust prediction model is needed to ad...
China Depression ROC Curve Longitudinal Studies Aged Male Middle Aged Decision Trees Osteoarthritis, Knee Humans Neural Networks, Computer Machine Learning Female
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A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach.

BMC medical informatics and decision making Nov 18, 2024
BACKGROUND: Lung cancer is characterized by high morbidity and mortality due to the lack of practical early diagnostic and prognostic tools. The present study uses machine learning algorithms to construct a clinical predictive model for non-small cel...
Prognosis Female Aged Adult Humans Machine Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Decision Trees Biomarkers, Tumor Male Middle Aged
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Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia.

Scientific reports Nov 14, 2024
Many studies have shown that infectious diseases are responsible for the majority of deaths in children under five. Among these children, Acute Respiratory Infections is the most prevalent illness and cause of death worldwide. Acute respiratory infec...
Child, Preschool ROC Curve Ethiopia Decision Trees Middle Aged Infant Adolescent Acute Disease Respiratory Tract Infections Risk Factors Young Adult Adult Male Machine Learning Algorithms Humans Female Infant, Newborn
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