Alle Papers – Machine Learning im Gesundheitswesen

Applying density-based outlier identifications using multiple datasets for validation of stroke clinical outcomes

Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review

Dysfunctional organization of default mode network before memory impairments in type 2 diabetes

Collaboration-based medical knowledge recommendation

A comorbidity-based recommendation engine for disease prediction

The health informatics cohort enhancement project (HICE): using routinely collected primary care data to identify people with a lifetime diagnosis of psychotic disorder

Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention

Co‐designing diagnosis: Towards a responsible integration of Machine Learning decision‐support systems in medical diagnostics

A Machine Learning-Based Algorithm for Early Detection of Sepsis in Hospitalized Patients: Development and Evaluation

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding

Length of stay prediction for clinical treatment process using temporal similarity

Explainable time-series deep learning models for the prediction of mortality, prolonged length of stay and 30-day readmission in intensive care patients

The performance of large language model-powered chatbots compared to oncology physicians on colorectal cancer queries

Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes

A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases

A flexible symbolic regression method for constructing interpretable clinical prediction models

Harnessing the potential of machine learning and artificial intelligence for dementia research

Measurements, Algorithms, and Presentations of Reality: Framing Interactions with AI-Enabled Decision Support

Validation of Computerized Automatic Calculation of the Sequential Organ Failure Assessment Score

Application of Example-Based Explainable Artificial Intelligence (XAI) for Analysis and Interpretation of Medical Imaging: A Systematic Review

Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES

Evaluation of a Computerized Diagnostic Decision Support System for Patients with Pneumonia: Study Design Considerations

Identifying high-cost patients using data mining techniques and a small set of non-trivial attributes

The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization