Alle Papers – Machine Learning im Gesundheitswesen

Explainable depression symptom detection in social media

Emergency triage of brain computed tomography via anomaly detection with a deep generative model

Multi-party Diabetes Mellitus risk prediction based on secure federated learning

Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores

Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I

Big Data Analysis and Machine Learning in Intensive Care Units

Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning

Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset

Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case

Machine Learning Analysis of Inflammatory Bowel Disease-Associated Metagenomics Dataset

Artificial intelligence in scientific medical writing: Legitimate and deceptive uses and ethical concerns

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction

Evaluation of matched control algorithms in EHR-based phenotyping studies: A case study of inflammatory bowel disease comorbidities

Preprocessing structured clinical data for predictive modeling and decision support

Epilepsy Among Elderly Medicare Beneficiaries

Big data, artificial intelligence, and cardiovascular precision medicine

Applications of artificial intelligence in the emergency department

Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit

A historical perspective of biomedical explainable AI research

Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System

Prediction of Mortality from Heart Failure using Machine Learning

Improving the utilization of admission order sets in a computerized physician order entry system by integrating modular disease specific order subsets into a general medicine admission order set