AIMC Topic: Decision Trees

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Dental Composite Performance Prediction Using Artificial Intelligence.

Journal of dental research Feb 14, 2025
There is a need to increase the performance and longevity of dental composites and accelerate the translation of novel composites to the market. This study explores the use of artificial intelligence (AI), specifically machine learning (ML) models, t...
Decision Trees Composite Resins Dental Materials Flexural Strength Humans Artificial Intelligence Machine Learning Support Vector Machine
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Fast Interpretable Greedy-Tree Sums.

Proceedings of the National Academy of Sciences of the United States of America Feb 14, 2025
Modern machine learning has achieved impressive prediction performance, but often sacrifices interpretability, a critical consideration in high-stakes domains such as medicine. In such settings, practitioners often use highly interpretable decision t...
Clinical Decision-Making Humans Machine Learning Decision Trees Algorithms
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Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Feb 13, 2025
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom burden clusters in breast cancer patients undergoing chemotherapy, and to determine an optimal model.
Machine Learning Algorithms Logistic Models Female Symptom Burden Aged Support Vector Machine Humans Decision Trees Middle Aged Neural Networks, Computer Predictive Value of Tests Adult Sensitivity and Specificity Antineoplastic Agents Breast Neoplasms ROC Curve
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Precise multi-factor immediate implant placement decision models based on machine learning.

Scientific reports Feb 12, 2025
This study aims to explore the effect of implant apex design, osteotomy preparation, intraosseous depth and bone quality on immediate implant placement insertion torque and establish a more sophisticated decision model with multi-factor analysis base...
Osteotomy Dental Implants Torque Dental Implantation, Endosseous Humans Machine Learning Decision Trees
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

PloS one Feb 3, 2025
BACKGROUND: Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and deaths and are particularly susceptible to fall-induced TBIs. The combination of increased frailty and susceptibility to clinical decline creates a sign...
Accidental Falls Decision Support Systems, Clinical Brain Injuries, Traumatic Decision Trees Patient Discharge Glasgow Coma Scale Humans Female Artificial Intelligence Aged Retrospective Studies Aged, 80 and over Male
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KaMLs for Predicting Protein p Values and Ionization States: Are Trees All You Need?

Journal of chemical theory and computation Jan 30, 2025
Despite its importance in understanding biology and computer-aided drug discovery, the accurate prediction of protein ionization states remains a formidable challenge. Physics-based approaches struggle to capture the small, competing contributions in...
Hydrogen-Ion Concentration Ions Decision Trees Proteins Databases, Protein Machine Learning
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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.

Parasites & vectors Jan 29, 2025
BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. Howeve...
Data Mining Humans Young Adult Gastroenteritis Machine Learning Adult Child Jordan Infant Algorithms Feces Male Adolescent Decision Trees Middle Aged Electronic Health Records Child, Preschool Amebiasis Female Aged
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Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models.

BMC microbiology Jan 24, 2025
BACKGROUND: Bloodstream infection (BSI) is a systemic infection that predisposes individuals to sepsis and multiple organ dysfunction syndrome. Early identification of infectious agents and determination of drug-resistant phenotypes can help patients...
Humans Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Anti-Bacterial Agents Carbapenems Klebsiella Infections Carbapenem-Resistant Enterobacteriaceae Escherichia coli Klebsiella pneumoniae Decision Trees Bacteremia Escherichia coli Infections Blood Culture Microbial Sensitivity Tests
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Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.

BMC cardiovascular disorders Jan 23, 2025
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using...
Nutritional Status Inflammation Treatment Outcome Decision Trees Predictive Value of Tests Percutaneous Coronary Intervention Myocardial Infarction Inflammation Mediators Male Middle Aged Nutrition Assessment Risk Assessment Female Risk Factors Aged Humans Neural Networks, Computer Machine Learning Decision Support Techniques Biomarkers
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Machine learning-based models for prediction of innovative medicine reimbursement decisions in Scotland.

Journal of epidemiology and population health Jan 17, 2025
OBJECTIVE: This study aimed to investigate the critical factors for reimbursement decisions of innovative medicines in Scotland and to explore the feasibility of machine learning models for predicting decisions.
Decision Making Decision Trees Scotland Reimbursement Mechanisms Humans Machine Learning
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