Alle Papers – Machine Learning im Gesundheitswesen

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution

Design and Application of a Generic Clinical Decision Support System for Multiscale Data

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning

Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

Early heart disease prediction using feature engineering and machine learning algorithms

An interpretable stroke prediction model using rules and Bayesian analysis

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction

Multi-Step Ahead Predictions for Critical Levels in Physiological Time Series

Analysis of Prediction Accuracy of Diabetes Using Classifier and Hybrid Machine Learning Techniques

An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network

An XGBoost-Based Knowledge Tracing Model

This looks More Like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation

Computer says ‘no’: Exploring systemic bias in ChatGPT using an audit approach

Segmentation of High-Cost Adults in an Integrated Healthcare System Based on Empirical Clustering of Acute and Chronic Conditions

Matching Patients to Clinical Trials with Large Language Models

Using ontologies linked with geometric models to reason about penetrating injuries

MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

Artificial intelligence in mental healthcare: transformative potential vs. the necessity of human interaction

Prediction of Sepsis and In-Hospital Mortality Using Electronic Health Records

<scp>Data‐driven</scp> discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

Large-scale application of named entity recognition to biomedicine and epidemiology

Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?

Chronic Disease Progression Prediction: Leveraging Case‐Based Reasoning and Big Data Analytics

Expert Level Evaluations for Explainable AI (XAI) Methods in the Medical Domain