Alle Papers – Machine Learning im Gesundheitswesen

Automating Vector Autoregression on Electronic Patient Diary Data

Artificial neural networks in clinical urology

Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias

The advent of medical artificial intelligence: lessons from the Japanese approach

Reporting Guidelines for Artificial Intelligence in Medical Research

Alzheimer's disease recognition from spontaneous speech using large language models

Predictor characteristics necessary for building a clinically useful risk prediction model: a simulation study

Eventual situations for timeline extraction from clinical reports

Recurrent Latent Variable Networks for Session-Based Recommendation

A Framework for Diagnosing Kidney Disease in Diabetes Patients Using Classification Algorithms

Bayesian learning for cardiac SPECT image interpretation

VS-GRU: A Variable Sensitive Gated Recurrent Neural Network for Multivariate Time Series with Massive Missing Values

Physician nurse care: A new use of UMLS to measure professional contribution

Early Prediction of Diabetes Disease & Classification of Algorithms Using Machine Learning Approach

A glossary for big data in population and public health: discussion and commentary on terminology and research methods

Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer’s disease analysis

Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts

Health Informatics via Machine Learning for the Clinical Management of Patients

Graph Attention Model Embedded With Multi-Modal Knowledge For Depression Detection

Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data

Large Language Models in Healthcare: A Bibliometric Analysis and Examination of Research Trends

Prospects and Challenges for Clinical Decision Support in the Era of Big Data

A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent

Towards precision medicine

Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach