Alle Papers – Machine Learning im Gesundheitswesen

Importance of Big Data in Precision and Personalized Medicine

IntelliDoctor - AI based Medical Assistant

Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality

Explanation in Artificial Intelligence: Insights from the Social\n Sciences

Two-Stage Monitoring of Patients in Intensive Care Unit for Sepsis Prediction Using Non-Overfitted Machine Learning Models

Artificial intelligence-enhanced patient evaluation: bridging art and science

Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students

Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges

Predicting Future High-Cost Patients: A Real-World Risk Modeling Application

A Bayesian network model for radiological diagnosis and procedure selection: Work‐up of suspected gallbladder disease

Leveraging graph-based hierarchical medical entity embedding for healthcare applications

A machine learning approach to identifying patients with pulmonary hypertension using real-world electronic health records

Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review

Deep Learning Solutions to Computational Phenotyping in Health Care

Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

Machine learning based model for risk prediction after ST-Elevation myocardial infarction: Insights from the North India ST elevation myocardial infarction (NORIN-STEMI) registry

Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage

Knowledge Graph Embeddings and Explainable AI

On the failure of intelligence to predict myside bias and one-sided bias

ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine

Artificial intelligence to differentiate asthma from COPD in medico-administrative databases

Predicting hospital emergency department visits with deep learning approaches

Reviewing CAM-Based Deep Explainable Methods in Healthcare

Data imputation and compression for Parkinson's disease clinical questionnaires

PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data