Alle Papers – Machine Learning im Gesundheitswesen

A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments

BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck

Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion

Clinical Decision Support Systems: A Survey of NLP-Based Approaches from Unstructured Data

Lay Person-Based Screening for Early Detection of Alzheimer's Disease: Development and Validation of an Instrument

Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients

Digitization of Measurement-Based Care Pathways in Mental Health Through REDCap and Electronic Health Record Integration: Development and Usability Study

Inducing anxiety in large language models increases exploration and bias

Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France

Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective

Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals

Comparing expert systems for identifying chest x-ray reports that support pneumonia.

Deep learning for the dynamic prediction of multivariate longitudinal and survival data

Advancing primary care with Artificial Intelligence and Machine Learning

Can a Holistic View Facilitate the Development of Intelligent Traditional Chinese Medicine? A Survey

Designing a medication timeline for patients and physicians

AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning

Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model

Clinical decisions support malfunctions in a commercial electronic health record

Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity

Detecting asthma exacerbations using daily home monitoring and machine learning

Deep Ensemble Sparse Regression Network for Alzheimer’s Disease Diagnosis

A Comprehensive Analysis Regarding Several Breakthroughs Based on Computer Intelligence Targeting Various Syndromes

Addressing the Complexities of Big Data Analytics in Healthcare: The Diabetes Screening Case