Objective Develop a novel technique to identify an optimal number of regression units
corresponding to a single risk point, while creating risk scoring systems from logistic …

The growing popularity of Deep Learning (DL) in recent years has had a large
environmental impact. Training models require a lot of processing and computation and …

In the context of healthcare, an AI solution is generally developed for a specific analysis task,
based on a relevant dataset, with little attention to reusability and generalizability of its data …

Obtaining high-quality data sets from raw data is a key step before data exploration and
analysis. Nowadays, in the medical domain, a large amount of data is in need of quality …

Health services research (HSR) is a field of study that examines how social factors, financing
systems, organizational structures and processes, health technologies, and personal …

There has been an increasing demand for healthcare analytics skills and competence by
healthcare organizations. Although many universities have established programs and …

Background Electronic health records (EHRs) play a crucial role in healthcare decision-
making by giving physicians insights into disease progression and suitable treatment …

Nowadays, the study of Big Data has become crucial to guarantee technical advancements
in the large majority of the modern computer systems. Within the Healthcare context, this is …

This research paper presents an in-depth investigation into the performance of machine
learning, ensemble techniques, and deep learning models for mortality risk assessment …

Embora a gestão e preparação de dados constitua uma grande proporção do esforço total
envolvido na análise baseada nos registos de saúde eletrónicos, Electronic health …