Sérgio Matos

Assistant Professor

Universidade de Aveiro

Portugal

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About

Dr. Sérgio Matos is an Assistant Professor at Universidade de Aveiro in Portugal. His research encompasses a diverse range of topics, including healthcare ecosystem value creation through artificial intelligence, biomedical entity recognition, and the modeling of patient trajectories. Additionally, his recent work explores regulatory roles of NAD-interacting proteins and innovations in data extraction from clinical notes.

Articles (12)

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2025

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2024

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2024

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (4)

Tânia S. Caetano

Universidade de Aveiro

PORTUGAL

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Raquel Silva

Professora Auxiliar

Universidade Católica Portuguesa

PORTUGAL

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Diogo Pratas

Universidade de Aveiro

PORTUGAL

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José Luís Oliveira

Universidade de Aveiro

PORTUGAL

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Sérgio Matos

Research Interests

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Articles (12)

Value Creation for Healthcare Ecosystems through Artificial Intelligence Applied to Physician-to-Physician Communication: A Systematic Review

Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes

Towards discovery: an end-to-end system for uncovering novel biomedical relations

Study of NAD-interacting proteins highlights the extent of NAD regulatory roles in the cell and its potential as a therapeutic target

Modelling patient trajectories using multimodal information

The complexity landscape of viral genomes

Chemical identification and indexing in PubMed full-text articles using deep learning and heuristics

Naprt expression regulation mechanisms: Novel functions predicted by a bioinformatics approach

A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases

Automatic analysis of artistic paintings using information-based measures

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

Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model

Collaborators (4)

Tânia S. Caetano

Raquel Silva

Diogo Pratas

José Luís Oliveira

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