Alle Papers – Machine Learning im Gesundheitswesen

Longitudinal Prediction Modeling of Alzheimer Disease using Recurrent Neural Networks

Prediction of Patients’ Incurable Diseases Utilizing Deep Learning Approach

Cluster-based analysis of COVID-19 cases using self-organizing map neural network and K-means methods to improve medical decision-making

Using Electronic Clinical Decision Support in Patient-Centered Medical Homes to Improve Management of Diabetes in Primary Care

Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling

Knowledge-enhanced online doctor recommendation framework based on knowledge graph and joint learning

Treatment effect prediction with adversarial deep learning using electronic health records

Clinical evaluation of a machine learning–based early warning system for patient deterioration

Predicting intentions of nurses to adopt patient personal health records: A structural equation modeling approach

Clinical implementation of suicide risk prediction models in healthcare: a qualitative study

Improving structural medical process comparison by exploiting domain knowledge and mined information

ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences

Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission

Advancements in Healthcare Services using Deep Learning Techniques

Artificial intelligence in pediatrics

Diagnostic Performance Comparison between Generative AI and Physicians: A Systematic Review and Meta-Analysis

The quality and safety of using generative AI to produce patient-centred discharge instructions

Cardiovascular Health Management in Diabetic Patients with Machine-Learning-Driven Predictions and Interventions

Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT

Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond

Unsupervised deep learning with variational autoencoders applied to breast tumor genome-wide DNA methylation data with biologic feature extraction

Memory Augmented Neural Model for Incremental Session-based Recommendation

RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?