João Rafael Almeida

Publications : 22
Aldex : 10
H-index : 3
Citations : 30

Healthcare, Vol. 10, Pages 2287: Semantic Data Visualisation for Biomedical Database Catalogues

Arnaldo Pereira et 4 al.

Nov 15, 2022 in Healthcare
Healthcare, Vol. 10, Pages 2287: Semantic Data Visualisation for Biomedical Database Catalogues Healthcare doi: 10.3390/healthcare10112287 Authors: Arnaldo Pereira João Rafael Almeida Rui Pedro Lopes José Luís Oliveira Biomedical databases often have restricted access policies and governance rules. Thus, an adequate description of their content is essential for researchers who wish to use them for...

Development and external validation of prediction models for adverse health outcomes in rheumatoid arthritis: A multinational real-world cohort analysis.

Cynthia Yang et 29 al.

Jun 15, 2022 in Seminars in arthritis and rheumatism
Identification of rheumatoid arthritis (RA) patients at high risk of adverse health outcomes remains a major challenge. We aimed to develop and validate prediction models for a variety of adverse health outcomes in RA patients initiating first-line methotrexate (MTX) monotherapy. Data from 15 claims and electronic health record databases across 9 countries were used. Models were developed and inte...

Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes

João Rafael Almeida et 5 al.

Jan 1, 2020
Hospitalised patients suffering from secondary illnesses that require daily medication typically need personalised treatment. Although clinical guidelines were designed considering those circumstances, existing decision-support features fail in assimilating detailed relevant patient information, which opens up opportunities for systems capable of performing a real-time evaluation of such data agai...

A Modular Workflow Management Framework

João Rafael Almeida et 3 al.

Jan 1, 2018
Task management systems are crucial tools in modern organizations, by simplifying the coordination of teams and their work. Those tools were developed mainly for task scheduling, assignment, follow-up and accountability. Then again, scientific workflow systems also appeared to help putting together a set of computational processes through the pipeline of inputs and outputs from each, creating in t...


Extraction of Family History Information From Clinical Notes: Deep Learning and Heuristics Approach

João Figueira Silva, Sérgio Matos et 2 al.

Jan 1, 2020 in JMIR Medical Informatics
Background Electronic health records store large amounts of patient clinical data. Despite efforts to structure patient data, clinical notes containing rich patient information remain stored as free text, greatly limiting its exploitation. This includes family history, which is highly relevant for applications such as diagnosis and prognosis. Objective This study aims to develop automatic strat...

Strategies to Access Patient Clinical Data from Distributed Databases

João Rafael Almeida et 4 al.

Jan 1, 2019
Over the last twenty years, the use of electronic health record systems has become widespread worldwide, leading to the creation of an extensive collection of health databases. These databases can be used to speed up and reduce the cost of health research studies, which are essential for the advance of health science and the improvement of health services. However, despite the recognised gain of d...

A semi-automatic methodology for analysing distributed and private biobanks

João Rafael Almeida et 3 al.

Jan 1, 2021 in Computers in biology and medicine
Privacy issues limit the analysis and cross-exploration of most distributed and private biobanks, often raised by the multiple dimensionality and sensitivity of the data associated with access restrictions and policies. These characteristics prevent collaboration between entities, constituting a barrier to emergent personalized and public health challenges, namely the discovery of new druggable ta...

GTO: a toolkit to unify pipelines in genomic and proteomic research

João Rafael Almeida, Diogo Pratas et 4 al.

Jan 1, 2020 in bioRxiv
Next-generation sequencing triggered the production of a massive volume of publicly available data and the development of new specialised tools. These tools are dispersed over different frameworks, making the management and analyses of the data a challenging task. Additionally, new targeted tools are needed, given the dynamics and specificities of the field. We present GTO, a comprehensive toolki...

A Recommender System to Help Discovering Cohorts in Rare Diseases

João Rafael Almeida et 5 al.

Jan 1, 2020 in 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems
Cohort studies have been playing a key role in helping our understanding of diseases, health conditions, and treatments. These cohorts are often composed of a small number of subjects, especially in rare diseases studies, which reduces the statistical power of the results. One solution that can strengthen the scientific findings is to combine distinct studies and perform then multi-cohort analysis...

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