Alle Papers – Machine Learning im Gesundheitswesen

Bayesian network model for diagnosis of psychiatric diseases

Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records

Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation

Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models

Natural language processing: using artificial intelligence to understand human language in orthopedics

Subpopulation-specific machine learning prognosis for underrepresented patients with double prioritized bias correction

Use of Machine Learning to Develop a Risk-Stratification Tool for Emergency Department Patients With Acute Heart Failure

Depression Severity Prediction Based on Biomarkers of Psychomotor Retardation

Reliable Multi-Label Learning via Conformal Predictor and Random Forest for Syndrome Differentiation of Chronic Fatigue in Traditional Chinese Medicine

Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction

A context-aware approach for progression tracking of medical concepts in electronic medical records

Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures

A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method

GenRec: Large Language Model for Generative Recommendation

Learning What We Didn’t Know — The SPRINT Data Analysis Challenge

INTERNIST-I properties: Representing common sense and good medical practice in a computerized medical knowledge base

Deep Learning-Based Natural Language Processing for Screening Psychiatric Patients

Deep Learning Techniques for Electronic Health Record Analysis

Graph-Sparse LDA: A Topic Model with Structured Sparsity

A Natural Language Processing–Based Approach for Identifying Hospitalizations for Worsening Heart Failure Within an Integrated Health Care Delivery System

A benchmark for automatic medical consultation system: frameworks, tasks and datasets

Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model

MITRE system for clinical assertion status classification

Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text