Currently working as Auxiliar Researcher at Centro Algoritmi in the University of Minho. Invited Assistant Professor, teaching Knowledge Discovery, noSQL Databases, Database Administration and Electronic Health Records. Previously worked as Information Systems Director at Centro Hospitalar de Entre o Douro e Vouga E.P.E., also performed as Project Manager and IT Specialist at Centro Hospitalar do Tâmega e Sousa E.P.E. during the early days! Long-held interests in Machine Learning, Data Mining, eHealth, Medical Information Systems, interoperability and integration in healthcare domain.


Data Mining | Electronic Health Record | Multi-agent Systems | Interoperability | Business Intelligence | Knowledge Extraction | Decision Support Systems | CRISP-DM

mySQL | Oracle | MongoDB | neo4j

PHP | python | Javascript | .Net | Visual Basic | R

RapidMiner | Mirthconnect | Docker | Bootstrap | git | Joomla | WordPress

Lastest publications

Book chapters

  1. Diogo Peixoto, Mariana Faria, Rui Macedo, Hugo Peixoto, João Lopes, Agostinho Barbosa, Tiago Guimarães and Manuel Santos (2022). Determining Internal Medicine Length of Stay by means of Predictive Analytics. 13566, .

  2. Carolina Marques, Vasco Ramos, Hugo Peixoto and José Machado (2022). Pervasive Monitoring System for Services and Servers in Healthcare Environment. Procedia Computer Science vol. 201C, .

  3. Ana Duarte, Hugo Peixoto and José Machado (2022). A Comparative Study of Data Mining Techniques applied to Renal-Cell Carcinomas. 432, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering .


  1. Claúdia Brito, Marisa Esteves, Hugo Peixoto, António Abelha and José Machado (2022). A Data Mining Approach to Classify Serum Creatinine Values in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis. Wireless Networks, jornal n. 11276, Springer US.

  2. Hugo Peixoto, Vasco Ramos, Carolina Marques and José Machado (2022). Predicting Diabetes Disease for healthy smart cities. EAI Endorsed Trans Smart Cities, 6(18), EAI.

  3. Hugo Peixoto, Lara Silva, Tiago Jesus, Vitor Neves Lopes, António Abelha (2020). Death and morbidity prediction using data mining in perforated peptic ulcers. International Journal of Reliable and Quality E-Healthcare (IJRQEH), Volume 9, Issue 1, IGI Global.

Conf. Papers

  1. Regina Sousa, Daniela Oliveira, Ana Carneiro, Luís Pinto, Ana Pereira, Ana Peixoto, Hugo Peixoto and José Machado (2022). The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture.

  2. Inês Tavares, Júlio Duarte, Hugo Peixoto, Álvaro Silva, Maria Manuel and César Quintas (2022). Association Models for Relating Problems with Semiologic Data in Intensive Medicine.

  3. Diogo Peixoto, Agostinho Barbosa, Hugo Peixoto, João Lopes, Tiago Guimarães, Manuel Santos (2022). Predictive analytics for hospital inpatient flow determination.

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