The report illustrates the state of the art of the most successful AAL applications and
functions based on audio and video data, namely (i) lifelogging and self-monitoring,(ii) …

Artificial Intelligence based algorithms are gaining a main role in healthcare. However, the
black-box nature of models such as deep neural networks challenges the users' trust …

Telemedicine and remote patient monitoring (RPM) systems have been gaining interest and
received adaptation in healthcare sectors since the COVID‐19 pandemic due to their …

The ability to perform accurate prognosis is crucial for proactive clinical decision making,
informed resource management and personalised care. Existing outcome prediction models …

Health care field is facing a lot of challenges due to the huge volume of people need
medical support. The pandemic situation has created a lot of challenges to the healthcare …

Objetivo Comparar o desempenho de modelos de aprendizado de máquina com o
Medication Fall Risk Score (MFRS) na previsão de risco de queda relacionado a …

Background: Early warning score systems are widely used for identifying patients who are at
the highest risk of deterioration to assist clinical decision-making. This could facilitate early …

Results: The machine-learning model showing the best performance was the one
developed by the Naive Bayes algorithm. The model built from a data set of a specific …

A Extração de Informação (EI) abrange uma série de tarefas de Processamento de
Linguagem Natural (PLN). Entre elas, o Reconhecimento de Entidades Nomeadas (REN) é …

The COVID-19 pandemic has brought the world to a standstill. The countries have imposed
lockdowns to curb the transmission of the disease and augment the public health facilities …