Decision tree classifiers for automated medical diagnosis

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Clinical Comparison of Full-Field Digital Mammography and Screen-Film Mammography for Detection of Breast Cancer

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Lazy decision trees

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A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification

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Receiver Operating Characteristic Curve Confidence Intervals and Regions

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Altered metabolism in cancer

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Large-Scale Numerical Optimization

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Pruning decision trees with misclassification costs

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Screening interval breast cancers: mammographic features and prognosis factors.

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Using Kaplan–Meier analysis together with decision tree methods (C&RT, CHAID, QUEST, C4.5 and ID3) in determining recurrence-free survival of breast cancer patients

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Visual classification

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Breast cancer in Egypt:a review of disease presentation and detection strategies

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CLOUDS: a decision tree classifier for large datasets

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Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening: Updated review

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Computer aided diagnosis of breast cancer in digitized mammograms

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Full-Field Digital versus Screen-Film Mammography: Comparison within the UK Breast Screening Program and Systematic Review of Published Data

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Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images

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Resampling methods for parameter-free and robust feature selection with mutual information

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Comparison of Digital Mammography and Screen-Film Mammography in Breast Cancer Screening: A Review in the Irish Breast Screening Program

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Data mining for indicators of early mortality in a database of clinical records

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Predicting the Outcome of Construction Litigation Using Boosted Decision Trees

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Improving the AUC of Probabilistic Estimation Trees

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Full-field digital mammography designed as a complete system

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The positive predictive value of mammographic signs: A review of 425 non-palpable breast lesions

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Digital mammography: what do we and what don’t we know?

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Machine Learning

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Entropy-based feature extraction and decision tree induction for breast cancer diagnosis with standardized thermograph images

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Early detection of breast cancer: Overview of the evidence on computer‐aided detection in mammography screening*

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Decision Tree For Competing Risks Survival Probability In Breast Cancer Study

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Digital Mammography: A Review of Technical Development and Clinical Applications

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Heart Disease Prediction Using Machine Learning

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Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer

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Decision Tree Evaluation on Sensitive Datasets for Secure e-Healthcare Systems

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Breast Cancer Detection Using Particle Swarm Optimization and Decision Tree Machine Learning Technique

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Disease analysis using machine learning approaches in healthcare system

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Towards Secure and Efficient Outsourcing of Machine Learning Classification

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Intelligent Fault Diagnosis of HVCB with Feature Space Optimization-Based Random Forest

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Private yet Efficient Decision Tree Evaluation

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Mechanical Faults Diagnosis of High-Voltage Circuit Breaker via Hybrid Features and Integrated Extreme Learning Machine

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Twitter Sentiment Analysis of Bangkok Tourism During COVID-19 Pandemic Using Support Vector Machine Algorithm

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A study of UX practitioners roles in designing real-world, enterprise ML systems

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Decision Support in Medical Data Using 3D Decision Tree Visualisation

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Mortality prediction for ICU patients combining just-in-time learning and extreme learning machine

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A multi-view OVA model based on decision tree for multi-classification tasks

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AN INTRODUCTION AND REVIEW ON MACHINE LEARNING APPLICATIONS IN MEDICINE AND HEALTHCARE

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PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees

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Computer-aided classification of the mitral regurgitation using multiresolution local binary pattern

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Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19

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Applications of machine learning to the analysis of engine in-cylinder flow and thermal process: A review and outlook

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Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis

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Decision Tree With Only Two Musculoskeletal Sites to Diagnose Polymyalgia Rheumatica Using [18F]FDG PET-CT

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Friedman and Wilcoxon Evaluations Comparing SVM, Bagging, Boosting, K-NN and Decision Tree Classifiers

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Determination of Dairy Cattle Euthanasia Criteria and Analysis of Barriers to Humane Euthanasia in the United States: The Veterinarian Perspective

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Explainable Artificial Intelligence for Digital Forensics: Opportunities, Challenges and a Drug Testing Case Study

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Comparison of breast cancer classification models on Wisconsin dataset

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From logical inference to decision trees in medical diagnosis

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A NILM Dataset for Cognitive Meters Based on Conservative Power Theory and Pattern Recognition Techniques

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Toward intrusion detection using belief decision trees for big data

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Learning Decision Trees Recurrently Through Communication

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Privacy-Preserving Inductive Learning with Decision Trees

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Performance Analysis of Machine Learning Classifiers for ASD Screening

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Predicting Cardiovascular Risk in Athletes: Resampling Improves Classification Performance

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Revolutionizing hysteroscopy outcomes: AI-powered uterine myoma diagnosis algorithm shortens operation time and reduces blood loss

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ML: Early Breast Cancer Diagnosis

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Optimizing Secure Decision Tree Inference Outsourcing

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Network pharmacology: Advancing the application of large language models in traditional Chinese medicine research

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Artificial intelligence in precision health: Systems in practice

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An Example of Performance Comparison of Supervised Machine Learning Algorithms Before and After PCA and LDA Application: Breast Cancer Detection

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Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques

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An e-healthcare system for disease prediction using hybrid data mining technique

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Evaluation of Machine Learning Models for Breast Cancer Diagnosis Via Histogram of Oriented Gradients Method and Histopathology Images

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A Novel Stacked Generalization Ensemble-Based Hybrid SGM-BRR Model for ESG Score Prediction

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Improving Breast Cancer Diagnosis in Mammograms with Progressive Transfer Learning and Ensemble Deep Learning

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Advances, Applications, and Perspectives of Machine Learning Approaches in Predicting Gas Hydrate Phase Equilibrium

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Prediction of Function in ABCA4-Related Retinopathy Using Ensemble Machine Learning

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Predicting Corrosion Damage in the Human Body Using Artificial Intelligence

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Breast Cancer Prediction using Feature Selection and Classification with XGBoost

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An Artificial Intelligence Approach for Forecasting Ebola Disease

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Towards Explainable Artificial Intelligence in Machine Learning: A study on efficient Perturbation-Based Explanations

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Benchmarking Small-Dataset Structure-Activity-Relationship Models for Prediction of Wnt Signaling Inhibition

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Analysis of Breast Cancer for Histological Dataset Based on Different Feature Extraction and Classification Algorithms

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An Early Stage Researcher's Primer on Systems Medicine Terminology

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Non-Malleable Functions and Their Applications

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A Hybrid Predictive Model Integrating C4.5 and Decision Table Classifiers for Medical Data Sets

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Exploring different computational approaches for effective diagnosis of breast cancer

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Towards an Efficient Privacy-Preserving Decision Tree Evaluation Service in the Internet of Things

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Automated diagnosis of breast cancer from ultrasound images using diverse ML techniques

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A Shared Memory SMC Sampler for Decision Trees

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Future groundwater drought analysis under data scarcity using MedCORDEX regional climatic models and machine learning: The case of the Haouz Aquifer

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Advanced Reliability Prediction of FBGA Solder Joints Under Harmonic Vibration: Harnessing Supervised Machine Learning Models

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Predicting maternal health risk using PCA-enhanced XGBoost and SMOTE-ENN for improved healthcare outcomes

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Fair tree classifier using strong demographic parity

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Neighborhood Rough Set Approach With Biometric Application

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Breast Cancer Detection: Comparative Analysis of Machine Learning Classification Techniques

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Inductive learning based on rough set theory for medical decision making

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Diagnosis of Breast Cancer using Decision Tree Models and SVM

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Classifying breast cancer by using decision tree algorithms

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Breast Cancer Classification using Decision Tree Algorithms

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Ethics, regulation, and machine learning navigating oncological AI deployment with decision trees

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Optimized machine learning model using Decision Tree for cancer prediction

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