Alle Papers – Machine Learning im Gesundheitswesen

Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer’s Disease Diagnosis

From models to tools: clinical translation of machine learning studies in psychosis

Synthetic Dataset Generation of Driver Telematics

Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach

Clinical decision support system for hypertension medication based on knowledge graph

Diabetes Mellitus Prediction using Supervised Machine Learning Techniques

Information processing of medical records

Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification

Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening

An evaluation of GPT models for phenotype concept recognition

2024 International Joint Conference on Neural Networks (IJCNN)

Interpretation of machine learning predictions for patient outcomes in electronic health records

The performance of sequence symmetry analysis as a tool for post-market surveillance of newly marketed medicines: a simulation study

Is Random Survival Forest an Alternative to Cox Proportional Model on Predicting Cardiovascular Disease?

Brain Morphometry by Probabilistic Latent Semantic Analysis

Predicting Clinical Outcomes Across Changing Electronic Health Record Systems

Risk Assessment for Personalized Health Insurance Based on Real-World Data

Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making

Influence of Data Distribution in Missing Data Imputation

Artificial Intelligence in Medicine

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for\n Identifying COVID-19 on Chest X-rays

Explainable deep learning diagnostic system for prediction of lung disease from medical images

What Is the Role of Explainability in Medical Artificial Intelligence? A Case-Based Approach

A System for Classifying Disease Comorbidity Status from Medical Discharge Summaries Using Automated Hotspot and Negated Concept Detection

Decision support systems for clinical radiological practice — towards the next generation