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Elucidation of the Strongest Predictors of Cardiovascular Events in Patients with Heart Failure

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A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States

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Diagnosis-Steganography-Transmission: An Innovative Integrated Paradigm for ECG Healthcare

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Development of Prediction Models for Unplanned Hospital Readmission within 30 Days Based on Common Data Model: A Feasibility Study

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Rough set theory based prognostic classification models for hospice referral

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Predictors of Improvements in Mental Health From Mindfulness Meditation in Stressed Older Adults.

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Classification Model to Estimate MIB-1 (Ki 67) Proliferation Index in NSCLC Patients Evaluated With 18F-FDG-PET/CT

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Noise in medical decision making: a silent epidemic?

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Exploration of Biodegradable Substances Using Machine Learning Techniques

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Random Tree Algorithm to Analyse the Relation between Type of Traumatic Dental Injuries and Its Demographic and Predisposing Factors - A Cross-Sectional Study

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Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis – a proof of concept study

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Metabolomic and lipidomic fingerprints in inflammatory skin diseases – Systemic illumination of atopic dermatitis, hidradenitis suppurativa and plaque psoriasis

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Machine and deep learning techniques for the prediction of diabetics: a review

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Applications of gene pair methods in clinical research: advancing precision medicine

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A Sparse Representation Classification Approach for Near Real-Time, Physics-Based Functional Monitoring of Aerosol Jet-Fabricated Electronics

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A machine-learning-based prediction method for easy COPD classification based on pulse oximetry clinical use

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Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa

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Predictors of Individual Response to Placebo or Tadalafil 5mg among Men with Lower Urinary Tract Symptoms Secondary to Benign Prostatic Hyperplasia: An Integrated Clinical Data Mining Analysis

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Statistical estimation of diagnosis with genetic markers based on decision tree analysis of complex disease

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Systemic inflammation and family history in relation to the prevalence of type 2 diabetes based on an alternating decision tree

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Incidencia y factores predictivos de anemia ferropénica tras una hemorragia digestiva alta no asociada a hipertensión portal

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A Hybrid Method for Coronary Heart Disease Risk Prediction using Decision Tree and Multi Layer Perceptron

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Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification

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Influence of decision-making algorithms on the diagnostic accuracy using the current classification of periodontal diseases—a randomized controlled trial

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Ensemble machine learning reveals key features for diabetes duration from electronic health records

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Demographic and clinical characteristics associated with advanced stage colorectal cancer: a registry-based cohort study in Saudi Arabia

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Ensemble machine learning using hydrometeorological information to improve modeling of quality parameter of raw water supplying treatment plants

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Classification of cyclic alternating patterns of sleep using EEG signals

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Predicting nursing workload in digestive wards based on machine learning: A prospective study

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Estimation of bond strength of steel-concrete composites subjected to high temperature using tuned tree-based algorithms

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Artificial intelligence to investigate metabolomics data for precision medicine

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Effects of lifestyle behaviours and depressed mood on sleep quality in young adults. A machine learning approach

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Learning Analytics in Education for the Twenty-First Century

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Classification of Thyroid Diseases Using Machine Learning and Bayesian Graph Algorithms

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Classification tree analysis to enhance targeting for follow-up exam of colorectal cancer screening

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Florida Populations Most at Risk of Not Being Up to Date With Colorectal Cancer Screening

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Distinguishing between intra-genomic helitron families using time-frequency features and random forest approaches

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Development and Validation of a Prediction Model for Elevated Arterial Stiffness in Chinese Patients With Diabetes Using Machine Learning

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Identifying hepatocellular carcinoma patients with survival benefits from surgery combined with chemotherapy: based on machine learning model

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Understanding the process of clinical judgement for pharmacists when making clinical decisions

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Implementation of Statistical Learning Methods to Develop Guidelines for the Design of PLA-Based Composites with High Tensile Strength Values

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Using multi decision tree technique to improving decision tree classifier

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Prediction of Clinical Remission with Adalimumab Therapy in Patients with Ulcerative Colitis by Fourier Transform–Infrared Spectroscopy Coupled with Machine Learning Algorithms

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Inducing Decision Trees based on a Cluster Quality Index

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Predicting Disease-Specific Survival for Patients With Primary Cholangiocarcinoma Undergoing Curative Resection by Using a Decision Tree Model

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Detection of Male Fertility Using AI-Driven Tools

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Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases

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Toward More Accessible Fully Automated 3D Volumetric MRI Decision Trees for the Differential Diagnosis of Multiple System Atrophy, Related Disorders, and Age-Matched Healthy Subjects

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Artificial intelligence systems for the design of magic shotgun drugs

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Evolving balanced decision trees with a multi-population genetic algorithm

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Comparing Reliability of Association Rules and OLAP Statistical Tests

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Multi-Criteria Knowledge-Based Recommender System for Decision Support in Complex Business Processes.

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Comparison of decision trees used in data mining

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Assessment of the Post-Traumatic Damage of Myocardium in Patients with Combat Trauma Using a Data Mining Analysis of an Electrocardiogram

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Cognitive Status Predicts Return to Functional Independence After Minor Stroke: A Decision Tree Analysis

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Data Mining as a Powerful Tool for Creating Novel Drugs in Cardiovascular Medicine: The Importance of a “Back-and-Forth Loop” Between Clinical Data and Basic Research

Kitakaze, M., Asakura, M., Nakano, A., Takashima, S., & Washio, T. (2015) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-015-6602-9 · Cited by 8

News Headlines Classification Using Probabilistic Approach

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Diabetes Data Classification using Deep Learning Approach and Feature Selection based on GeneticPreprint

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Effects of a personalized game on students’ outcomes and visual attention during digital citizenship learning

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A Review of Neural Network Approach on Engineering Drawing Recognition and Future Directions

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Empowering Medical Diagnosis: A Machine Learning Approach for Symptom-Based Health Checker

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Machine Learning Model for Predicting Walking Ability in Lower Limb Amputees

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Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study

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Can parapneumonic effusion be diagnosed only with pleural fluid analysis?

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Statistical learning methodologies and admission prediction in an emergency department

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Rapid protocols to support COVID-19 clinical diagnosis based on hematological parameters

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Early Detection of Late Onset Sepsis in Extremely Preterm Infants Using Machine Learning: Towards an Early Warning System

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A Survey on Data Mining Algorithms and Techniques in Medicine

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Architecture for a Multimodal and Domain-Independent Clinical Decision Support System Software Development Kit

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Comparison of Machine Learning Algorithms for Tumor Detection in Breast Microwave Imaging

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Alkaline phosphatase in pediatric patients with genu varum caused by vitamin D-deficient rickets

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Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study

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Plasma BNP Levels and Diuretics Use as Predictors of Cardiovascular Events in Patients with Myocardial Infarction and Impaired Glucose Tolerance

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