Alle Papers – Machine Learning im Gesundheitswesen

Numero: a statistical framework to define multivariable subgroups in complex population-based datasets

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records

Fall Ascertainment and Development of a Risk Prediction Model Using Electronic Medical Records

Chatbots, generative AI, and scholarly manuscripts: WAME recommendations on chatbots and generative artificial intelligence in relation to scholarly publications

Predicting physician burnout using clinical activity logs: Model performance and lessons learned

Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records

Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study

Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer’s disease

Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients

Prediction of Diabetes Disease Using Machine Learning Model

Generalized Queries and Bayesian Statistical Model Checking in Dynamic Bayesian Networks: Application to Personalized Medicine

Simplified Symptom Pattern Method for verbal autopsy analysis: multisite validation study using clinical diagnostic gold standards

A composite kernel for named entity recognition

When Does Self-Supervision Help Graph Convolutional Networks?

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

Gemini Versus ChatGPT: Applications, Performance, Architecture, Capabilities, and Implementation

Additional Neural Matrix Factorization model for computational drug repositioning

A hybrid model to identify fall occurrence from electronic health records

The promise of convolutional neural networks for the early diagnosis of the Alzheimer’s disease

Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis

Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19

Early Alzheimer’s Disease Detection: A Review of Machine Learning Techniques for Forecasting Transition from Mild Cognitive Impairment

Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review

Multi-Label Clinical Time-Series Generation via Conditional GAN