Alle Papers – Machine Learning im Gesundheitswesen

How AI can help us beat AMR

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record

Forecasting Mortality Risk for Patients Admitted to Intensive Care Units Using Machine Learning

Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records

Can decision support combat incompleteness and bias in routine primary care data?

Artificial intelligence in healthcare: a mastery

Leveraging physiology and artificial intelligence to deliver advancements in health care

Prediction of type 2 diabetes mellitus onset using logistic regression-based scorecards

Natural language processing for the assessment of cardiovascular disease comorbidities: The <scp>cardio‐Canary</scp> comorbidity project

A Neural Network Trained to Identify the Presence of Myocardial Infarction Bases Some Decisions on Clinical Associations That Differ from Accepted Clinical Teaching

Artificial Intelligence Based Automated Medical Imaging Analysis and Interpretation

Using predictive analytics to identify drug-resistant epilepsy patients

IoT-enabled healthcare transformation leveraging deep learning for advanced patient monitoring and diagnosis

Usefulness of a large automated health records database in pharmacoepidemiology

An automated Psychometric Analyzer based on Sentiment Analysis and Emotion Recognition for healthcare

Artificial intelligence: Augmenting telehealth with large language models

Time-sensitive clinical concept embeddings learned from large electronic health records

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model

A Dynamic Ensemble Learning Algorithm based on K-means for ICU mortality prediction

Development of Comprehensive Personal Health Records Integrating Patient-Generated Health Data Directly From Samsung S-Health and Apple Health Apps: Retrospective Cross-Sectional Observational Study

Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction

Predicting Stroke Risk With an Interpretable Classifier

Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial

Person‐centred health care: a critical assessment of current and emerging research approaches

Unstructured clinical notes within the 24 hours since admission predict short, mid &amp; long-term mortality in adult ICU patients