Alle Papers – Machine Learning im Gesundheitswesen

Prospects for AI clinical summarization to reduce the burden of patient chart review

Contrastive Learning for Unsupervised Domain Adaptation of Time Series

The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes

Multimorbidity measures from health administrative data using <scp>ICD</scp> system codes: A systematic review

D’ARTAGNAN: Counterfactual Video Generation

Explainable AI for medical imaging: explaining pneumothorax diagnoses with Bayesian teaching

Effective Ways to Build and Evaluate Individual Survival Distributions

Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0

Machine Learning Techniques for Analysing Security Practises in Electronic Health Records

Automatic phenotyping of electronical health record: PheVis algorithm

Membership Inference Attacks against Synthetic Data through Overfitting Detection

A Bayesian latent class approach for EHR‐based phenotyping

Large language models and synthetic health data: progress and prospects

Combining patient visual timelines with deep learning to predict mortality

Personalized health monitoring using explainable AI: bridging trust in predictive healthcare

RETRACTED ARTICLE: MapReduce-based big data framework using modified artificial neural network classifier for diabetic chronic disease prediction

Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration

Symptoms-Based Fuzzy-Logic Approach for COVID-19 Diagnosis

A web-based Diagnostic Tool for COVID-19 Using Machine Learning on Chest Radiographs (CXR)

Patient-specific models for predicting the outcomes of patients with community acquired pneumonia.

TCM-KLLaMA: Intelligent generation model for Traditional Chinese Medicine Prescriptions based on knowledge graph and large language model

A framework for parameter estimation and model selection in kernel deep stacking networks

An Explainable AI Model for Interpretable Lung Disease Classification

CranialCloud: a cloud-based architecture to support trans-institutional collaborative efforts in neurodegenerative disorders

Causal risk factor discovery for severe acute kidney injury using electronic health records