Alle Papers – Machine Learning im Gesundheitswesen

Multilevel Bayesian networks for the analysis of hierarchical health care data

A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes

Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm

VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization

Machine Learning Will Change Medicine

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Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination

PROTEMPA: A Method for Specifying and Identifying Temporal Sequences in Retrospective Data for Patient Selection

Automated Electronic Phenotyping of Cardioembolic Stroke

Hierarchical shared transfer learning for biomedical named entity recognition

Accuracy and Effects of Clinical Decision Support Systems Integrated With BMJ Best Practice–Aided Diagnosis: Interrupted Time Series Study

An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients

The effect of cognitive impairment on the predictive value of multimorbidity for the increase in disability in the oldest old: the Leiden 85-plus Study

Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare – The Narrative Review

Analysing the impact of ChatGPT in research

Unregulated large language models produce medical device-like output

CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease

Semantic Information Retrieval on Medical Texts

Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks

Pass the nitric oxide.

Synthetic electronic health records generated with variational graph autoencoders

Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks

Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning

A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction