AIMC Topic: Portugal

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Machine learning in epidemiology: Neural networks forecasting of monkeypox cases.

PloS one
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long Short-Term Memory, and Gated Recurrent Unit models, to forecast monkeypox outbreaks in Canada, Spain, the USA, and Portugal. The research focuses on t...

Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.

BMC public health
BACKGROUND: Hikikomori refers to the extreme isolation of individuals in their own homes, lasting at least six months. In recent years social isolation has become an important clinical, social, and public health problem, with increased awareness of h...

Artificial intelligence in medicine: A comprehensive survey of medical doctor's perspectives in Portugal.

PloS one
Artificial Intelligence (AI) is increasingly influential across various sectors, including healthcare, with the potential to revolutionize clinical practice. However, risks associated with AI adoption in medicine have also been identified. Despite th...

Machine learning prediction of mortality in Acute Myocardial Infarction.

BMC medical informatics and decision making
BACKGROUND: Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients with AMI upon admission, using ...

Translation into portuguese of a set of questionnaires designed to evaluate the impact of using a telepresence robot during postoperative ward rounds.

Revista do Colegio Brasileiro de Cirurgioes
INTRODUCTION: the use of telepresence grows with the advancement of technology integration into medical practice. Regarding surgery, effective distance communication can translate into better perioperative care. Though, the patients' perception about...

SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks.

Journal of biomedical semantics
BACKGROUND: The high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the demand for annotated corpora, which are a precious resource for both the development and evaluation...

Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.

Scientific data
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pock...

Five regions, five retinopathy screening programmes: a systematic review of how Portugal addresses the challenge.

BMC health services research
BACKGROUND: The implementation of a population-based screening programme for diabetic retinopathy involves several challenges, often leading to postponements and setbacks at high human and material costs. Thus, it is of the utmost importance to promo...

Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text.

Journal of medical systems
Electronic Medical Records (EMRs) are written in an unstructured way, often using natural language. Information Extraction (IE) may be used for acquiring knowledge from such texts, including the automatic recognition of meaningful entities, through m...

Teaching cross-cultural design thinking for healthcare.

Breast (Edinburgh, Scotland)
OBJECTIVES: Artificial intelligence (AI) is poised to transform breast cancer care. However, most scientists, engineers, and clinicians are not prepared to contribute to the AI revolution in healthcare. In this paper, we describe our experiences teac...