Alle Papers – Machine Learning im Gesundheitswesen

Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening

Can ChatGPT Assess Human Personalities? A General Evaluation Framework

EasyMicroPlot: An Efficient and Convenient R Package in Microbiome Downstream Analysis and Visualization for Clinical Study

An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks

Acute coronary syndrome prediction in emergency care: A machine learning approach

Temporal representation of care trajectories of cancer patients using data from a regional information system: an application in breast cancer

Artificial Intelligence in the Intensive Care Unit

Healthcare Analysis in Smart Big Data Analytics: Reviews, Challenges and Recommendations

Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects

Real-Time Prediction of Sepsis in Critical Trauma Patients: Machine Learning–Based Modeling Study

Exploring Alzheimer's Disease Prediction with XAI in various Neural Network Models

A Drug Recommendation Model Based on Message Propagation and DDI Gating Mechanism

Zero-Shot Recommendation as Language Modeling

Knowledge, Attitude, and Practices of General Population Toward Utilizing ChatGPT: A Cross-sectional Study

Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

CASTLE: Cluster-aided space transformation for local explanations

Intelligent cardiovascular disease diagnosis using deep learning enhanced neural network with ant colony optimization

Flowing through laboratory clinical data: the role of artificial intelligence and big data

A Systematic Review of ChatGPT and Other Conversational Large Language Models in Healthcare

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Big data and machine learning in critical care: Opportunities for collaborative research

Interpretations are useful: penalizing explanations to align neural networks with prior knowledge

TorchXRayVision: A library of chest X-ray datasets and models