Alle Papers – Machine Learning im Gesundheitswesen

InternLM2 Technical Report

Intelligent Health Monitoring System for Detection of Symptomatic/Asymptomatic COVID-19 Patient

Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references

Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus

Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique

Adult age differences in free recall and category clustering

A complete graph-based approach with multi-task learning for predicting synergistic drug combinations

50 Years of Informatics Research on Decision Support: What’s Next

Explainable decision support through the learning and visualization of preferences from a formal ontology of antibiotic treatments

The future of medical diagnostics: large digitized databases.

Transformers for Multi-label Classification of Medical Text: An Empirical Comparison

Brain Informatics-Based Big Data and the Wisdom Web of Things

Automatic extraction of social determinants of health from medical notes of chronic lower back pain patients

Wisconsin Card Sorting Test (WCST)

Dynamic Prediction of Patient Outcomes in the Intensive Care Unit: A Scoping Review of the State-of-the-Art

Towards Quantification of Explainability in Explainable Artificial Intelligence Methods

Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning

Two-Step Imputation and AdaBoost-Based Classification for Early Prediction of Sepsis on Imbalanced Clinical Data

A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

A Machine Learning Approach to Predicting Readmission or Mortality in Patients Hospitalized for Stroke or Transient Ischemic Attack

ChatGPT and safety of COVID-19 vaccines

An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation

The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit

A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease