Antonio Abelha

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Professor Auxiliar

University of Minho

Portugal

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About

Professor Auxiliar Antonio Abelha is a faculty member at Universidade do Minho, Portugal. His research areas include automation in healthcare workflows, ethical decision-making in artificial intelligence, and data standardization in medical records. He has contributed to various studies focusing on smart cities, predictive analytics in health, and machine learning applications in health information exchange.

Recent Grants

Grant: Close

ICDS4IM - Suporte Inteligente à Decisão Clinica em Medicina Intensiva

Open Date: 2019-01-01

Close Date: 2021-12-01

Grant: Close

Development and Research on Innovative Vocational Education Skills

Open Date: 2018-01-01

Close Date: 2021-01-01

Grant: Close

DEM

Open Date: 2016-01-01

Close Date: 2019-01-01

Grant: Close

INNOVCAR

Open Date: 2015-01-01

Close Date: 2018-01-01

Grant: Close

IFACTORY

Open Date: 2015-01-01

Close Date: 2018-01-01

Articles (13)

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2025

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2024

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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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2022

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2022

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2021

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2021

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Universidade do Minho Centro ALGORITMI

PORTUGAL

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Antonio Abelha

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (13)

Automation of hospital workflows using international standards: A case study with imaging exams

Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities

Standardizing Corneal Transplantation Records Using openEHR: Case Study

Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach

A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis

Predicting the Survival of Primary Biliary Cholangitis Patients

Machine Learning Applied to Health Information Exchange

Prediction of COVID-19 diagnosis based on openEHR artefacts

The development of a pervasive Web application to alert patients based on business intelligence clinical indicators: a case study in a health institution

Integrating a New Generation of Interoperability Agents into the AIDA Platform

Data Mining for Cardiovascular Disease Prediction.

Hierarchical temporal memory theory approach to stock market time series forecasting

OpenEHR modeling: improving clinical records during the COVID-19 pandemic

Collaborators (5)

Manuel Santos

Paulo Novais

Dalila Duraes

José Manuel Ferreira Machado

Francini Hak

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