Alle Papers – Machine Learning im Gesundheitswesen

An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques

Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network

Transferability of a Computer System for Medical History Taking and Decision Support in Dyspepsia. A Comparison of Indicants for Peptic Ulcer Disease

Multi-class Classification of Cancer Stages from Free-text Histology Reports using Support Vector Machines

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database

PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models

Artificial intelligence for dementia prevention

Prediction of metabolic syndrome: A machine learning approach to help primary prevention

Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study

DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

Combining phenome-driven drug-target interaction prediction with patients’ electronic health records-based clinical corroboration toward drug discovery

Cluster-randomized, controlled trial of computer-based decision support for selecting long-term anti-thrombotic therapy after acute ischaemic stroke

A simulation-based evaluation of machine learning models for clinical decision support: application and analysis using hospital readmission

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era

Borrowing external information to improve Bayesian confidence propagation neural network

Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke

Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis

Enhancement of Clinical Predictive Ability by Computer Consultation)

Temporal-Aware Graph Neural Network for Credit Risk Prediction

Relation extraction using large language models: a case study on acupuncture point locations

Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study

Learning With Unsure Data for Medical Image Diagnosis

Posttraumatic stress disorder: diagnostic data analysis by data mining methodology.

Formal and informal prediction of recurrent stroke and myocardial infarction after stroke: a systematic review and evaluation of clinical prediction models in a new cohort