Alle Papers – Machine Learning im Gesundheitswesen

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?

Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study

Spectral clustering of risk score trajectories stratifies sepsis patients by clinical outcome and interventions received

Time-oriented patient records and a computer databank

Does Bayes have it? Decision Support Systems in diagnostic medicine

Evaluating ChatGPT performance in Arabic dialects: A comparative study showing defects in responding to Jordanian and Tunisian general health prompts

Machine learning-based heart attack prediction: A  symptomatic heart attack prediction method and exploratory analysis

Artificial intelligence-based mining of electronic health record data to accelerate the digital transformation of the national cardiovascular ecosystem: design protocol of the CardioMining study

Time-range based sequential mining for survival prediction in prostate cancer

Clinical considerations when applying machine learning to decision-support tasks versus automation

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission

Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease

Large-scale multimodal mining for healthcare with mapreduce

Groninger Intelligentie Test 2 (GIT-2)

Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference

Generating Synthetic but Plausible Healthcare Record Datasets

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs

Automatic detection of epilepsy from EEGs using a temporal convolutional network with a self-attention layer

Attention-based Frequency-aware Multi-scale Network for Sequential Recommendation

Data science for healthcare predictive analytics

Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification

Word Embedding for the French Natural Language in Health Care: Comparative Study

Natural language processing systems for extracting information from electronic health records about activities of daily living. A systematic review

Review of emerging trends and projection of future developments in large language models research in ophthalmology