Alle Papers – Machine Learning im Gesundheitswesen

Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

Mortality prediction for ICU patients combining just-in-time learning and extreme learning machine

Machine learning in psychiatry- standards and guidelines

Landscape of R packages for eXplainable Artificial Intelligence

Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values

Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets

Large language models for the mental health community: framework for translating code to care

Data science, learning, and applications to biomedical and health sciences

Local–Global Memory Neural Network for Medication Prediction

What’s all the chatter about?

A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients

Explainable Machine Learning Models of Consumer Credit Risk

Utilizing ChatGPT in clinical research related to anesthesiology: a comprehensive review of opportunities and limitations

A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement

DeepTag: inferring diagnoses from veterinary clinical notes

Generative Artificial Intelligence in Patient Education: ChatGPT Takes on Hypertension Questions

Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder

Rational Use of Electronic Health Records for Diabetes Population Management

Distributional data analysis via quantile functions and its application to modeling digital biomarkers of gait in Alzheimer’s Disease

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization

Prediction of sudden cardiac death using artificial intelligence: Current status and future directions

Closed-Book Training to Improve Summarization Encoder Memory

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings

Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations