Alle Papers – Machine Learning im Gesundheitswesen

Predicting Progression from Normal to MCI and from MCI to AD Using Clinical Variables in the National Alzheimer's Coordinating Center Uniform Data Set Version 3: Application of Machine Learning Models and a Probability Calculator

Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study

Prediction of cardiovascular disease risk based on major contributing features

Natural Language Processing, Electronic Health Records, and Clinical Research

Design and Implementation Issues

Development and Validation of a Sepsis Mortality Risk Score for Sepsis-3 Patients in Intensive Care Unit

Large language models facilitate the generation of electronic health record phenotyping algorithms

Pareto-optimal plans as ground truth for validation of a commercial system for knowledge-based DVH-prediction

A Recommender System Approach for Predicting Drug Side Effects

Better medicine through machine learning

Identification of Uncontrolled Symptoms in Cancer Patients Using Natural Language Processing

Prediction of Community-Acquired Pneumonia Using Artificial Neural Networks

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records.

Transporting a Prediction Model for Use in a New Target Population

Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

Acute ischaemic stroke prediction from physiological time series patterns

Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data

Constructing a knowledge-based heterogeneous information graph for medical health status classification

Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes

Potential of multiomics technology in precision medicine

Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care

The evolution of Big Data in neuroscience and neurology

Intelligent Interactive Visual Exploration of Temporal Associations among Multiple Time-oriented Patient Records

Building an Explainable Diagnostic Classification Model for Brain Tumor using Discharge Summaries

The Influence of Influence Diagrams in Medicine