Alle Papers – Machine Learning im Gesundheitswesen

Automatic International Classification of Diseases Coding System: Deep Contextualized Language Model With Rule-Based Approaches

Prediction of operative mortality for patients undergoing cardiac surgical procedures without established risk scores

Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU

The role of Disentanglement in Generalisation

Leveraging Large Language Model ChatGPT for enhanced understanding of end-user emotions in social media feedbacks

Predictive Modeling for End-of-Life Pain Outcome Using Electronic Health Records

Detecting Systemic Data Quality Issues in Electronic Health Records

Association mapping in biomedical time series via statistically significant shapelet mining

Developing and validating clinical features-based machine learning algorithms to predict influenza infection in influenza-like illness patients

Modeling a Clinical Pathway for Contraception

IDMPF: intelligent diabetes mellitus prediction framework using machine learning

Predicting adverse hemodynamic events in critically ill patients

Exploration of text matching methods in Chinese disease Q&A systems: A method using ensemble based on BERT and boosted tree models

Multimodal representation learning for predicting molecule–disease relations

Longitudinal Patterns of Spending Enhance the Ability to Predict Costly Patients

Machine learning techniques application for lung diseases diagnosis

An adaptive annotation approach for biomedical entity and relation recognition

A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data

The Study of Credit Scoring Model Based on Group Lasso

Machine learning-assisted prediction of pneumonia based on non-invasive measures

Healthcare Decision Support System for Administration of Chronic Diseases

Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model

Precision medicine: discovering clinically relevant and mechanistically anchored disease subgroups at scale

ACE: the Advanced Cohort Engine for searching longitudinal patient records

Scaling Law for Recommendation Models: Towards General-Purpose User Representations