Diabetes results from impaired pancreatic function as a producer of insulin and glucagon
hormones, which regulate glucose levels in the blood. People with diabetes today are not …

Over the last two decades, electronic health records (EHRs) have evolved as a crucial
repository for patient health data, encompassing both structured and unstructured …

Abstract Electronic Health Records (EHRs), which store extensive patient and treatment
data, provide an opportunity for machine learning models to capture disease progression …

With Electronic Medical Records (EMRs) being widely adopted in hospitals around the
world, they accelerate the transition of documenting patient-related data from paperbased to …

Abstract Electronic Health Records (EHRs), which store extensive patient and treatment
data, provide an opportunity for machine learning models to capture disease progression …

The traditional methods are easy to generate a large number of fake samples or data loss
when classifying unbalanced data. Therefore, this paper proposes a novel DBSCAN …

Data mining has become an essential tool in various domains, including healthcare, for
finding patterns and relationships in large datasets to solve business issues. However, given …

Conducting epidemiologic research usually requires a large amount of data to establish the
natural history of a disease and achieve meaningful study design, and interpretations of …

The utilization of vast amounts of EHR data is crucial to the studies in medical informatics.
Physicians are medical participants who directly record clinical data into EHR with their …

Le cancer est un enjeu de santé publique dont l'amélioration de la prise en charge repose,
entre autres leviers, sur l'exploitation d'entrepôts de données de santé (EDS). Leur …