The increasing use of electronic health records (EHRs) in healthcare has led to a significant
amount of unstructured clinical text data. This paper proposes a model for classifying free …

Abstract The implementation of Electronic Healthcare Records (EHR) is yet to achieve its full
extent of utilization. The implemented EHRs are still, mainly used for the administrative …

In this paper we present a method for modeling information in clinical narrative texts into
coherent semantically meaningful classes using text classification and visualization. We …

In order to improve clinical insights, this study investigates the incorporation of BERT-driven
natural language processing (NLP) in electronic health records (EHRs). Utilizing a …

Access to digital health data collections such as clinical notes, discharge summaries, or
medical charts has increased in the last few years due to the increased use of electronic …

This research developed an Explainable AI (XAI) based Clinical Decision Support System
(CDSS) to assist practitioners during anamnesis by classifying patient diagnoses. Utilizing …

Un desafío importante en Colombia es adaptar los datos clínicos de manera adecuada para
ser usados en ciencia de datos, ya que actualmente no existe un consenso en la adopción …