Alle Papers – Machine Learning im Gesundheitswesen

UniTS: A Unified Multi-Task Time Series Model

Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings

Health Care Transformation Through Collaboration on Open-Source Informatics Projects: Integrating a Medical Applications Platform, Research Data Repository, and Patient Summarization

Long-term Planning by Short-term Prediction

Speech-based automated cognitive status assessment

Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTM

Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration

Evaluating Patient Readmission Risk: A Predictive Analytics Approach

Disparities in medical recommendations from AI-based chatbots across different countries/regions

Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury

Prediction of Hemorrhagic Transformation after Ischemic Stroke Using Machine Learning

A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases

Using Machine Learning to Predict the Future Development of Disease

TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study

A method for modeling co-occurrence propensity of clinical codes with application to ICD-10-PCS auto-coding

ChatGPT is a black box: how AI research can break it open

Reporting Guidelines for Artificial Intelligence Studies in Healthcare (for Both Conventional and Large Language Models): What’s New in 2024

Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks

Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study

Diabetic data analysis in big data with predictive method

Explainable Artificial Intelligence for Medical Applications: A Review

Ability to Generate Patient Registries Among Practices With and Without Electronic Health Records

Artificial intelligence in mental healthcare: an overview and future perspectives