Alle Papers – Machine Learning im Gesundheitswesen

Evaluating resampling methods and structured features to improve fall incident report identification by the severity level

Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort

Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset

Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis

18th European Conference on Machine Learning (ECML07)

Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information: An XGBoost Algorithm Analysis

Generative Counterfactual Introspection for Explainable Deep Learning

NOVA - A tool for eXplainable Cooperative Machine Learning

Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations

Evaluating the Performance of the Framingham Diabetes Risk Scoring Model in Canadian Electronic Medical Records

RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning

A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset

Deep Natural Language Processing to Identify Symptom Documentation in Clinical Notes for Patients With Heart Failure Undergoing Cardiac Resynchronization Therapy

Multimorbidity pattern and risk of dementia in later life: an 11-year follow-up study using a large community cohort and linked electronic health records

Extracting Rx information from clinical narrative

Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity

A Data-Driven Approach to Predicting Septic Shock in the Intensive Care Unit

Enhancing ICD-Code-Based Case Definition for Heart Failure Using Electronic Medical Record Data

Using medical language processing to support real-time evaluation of pneumonia guidelines.

The Evolution of Patient Diagnosis

Deep neural network models for identifying incident dementia using claims and EHR datasets

Evaluation of GPT-4 for 10-year cardiovascular risk prediction: Insights from the UK Biobank and KoGES data

Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments

Classification Deficits in Alzheimer's Disease with Special Reference to Living and Nonliving Things

A multilayered framework for diagnosis and classification of Alzheimer's disease using transfer learned Alexnet and LSTM