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Diana Lisandra Azevedo Ferreira is an ambitious and devoted Master in Biomedical Engineering, more specifically in the field of Medical Informatics, which was completed in 2018/09/24 at the University of Minho. She is currently a PhD student of the Biomedical Engineering Program since 2020/09/01 and integrates the research team of the ALGORITMI Research Centre of the University of Minho, more specifically the Knowledge Engineering Group (KEG), where she analyses, develops, implements and maintains valid and robust solutions to biomedical problems, particularly in healthcare, in order to improve the experience and work of health professionals as well as the quality of life of patients. She participates and/or participated as a Research Fellow in 3 projects, two of which are the result of the partnership between Bosch and the University of Minho within the INNOVATIVE Car HMI project and the third one is European project called DRIVES - Development and Research on Innovative Vocational Educational Skills. In addition, she presents a huge interest and enthusiasm for Engineering Sciences and Technologies with emphasis on Biomedical Engineering. She published 6 articles in journals, 16 book chapters, 4 conference papers, and participated in the organization of a conference. In her professional activities she interacted with 52 collaborators in co-authorships of scientific papers. The terms most frequently used in the context of her scientific and technological production are: medical informatics; information and communication technology; health information systems; artificial intelligence; machine ethics; clinical decision support systems; business intelligence; recommendation systems.
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Identificação

Identificação pessoal

Nome completo
Diana Lisandra Azevedo Ferreira

Nomes de citação

  • Ferreira, Diana

Identificadores de autor

Ciência ID
A819-5908-F68F
ORCID iD
0000-0003-2326-2153
Scopus Author Id
55759511521

Moradas

  • Centro ALGORITMI, Escola de Engenharia, Universidade do Minho, Campus de Gualtar, 4710-057, Gualtar, Braga, Portugal (Profissional)

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Médica - Engenharia Médica

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2)
Formação
Grau Classificação
2020/09/01 - 2023/09/01
Em curso
 Engenharia Biomédica (Doutoramento)
Universidade do Minho, Portugal
"Ethics and New Trends in Artificial Intelligence in Intensive Care Units" (TESE/DISSERTAÇÃO)
2013/09/15 - 2018/09/24
Concluído
 Engenharia Biomédica (Mestrado integrado)
Especialização em Informática Médica
Universidade do Minho, Portugal
"Interoperability and Knowledge Discovery in Healthcare" (TESE/DISSERTAÇÃO)
 16
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2018/09/24 - Atual Investigador (Investigação) Universidade do Minho Centro ALGORITMI, Portugal
Universidade do Minho Centro ALGORITMI, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2020/02 - 2020/08 Assistente Convidado (Docente Universitário) Universidade do Minho, Portugal
Universidade do Minho, Portugal
Projetos

Bolsa

Designação Financiadores
2020/01/16 - Atual Easy Ride: Experience is Everything (n.º 039334)
EASYRIDE/4_30-01/2019
Bolseiro de Investigação
Universidade do Minho Centro ALGORITMI, Portugal
Em curso
2019/07/01 - 2019/12/31 DRIVES - Proj. No. 591988-EPP-1-2017-1CS-EPPKA2-SSA (ERASMUS+ KA2 - Sector Skills Alliances)
UMINHO/BI/227/2019
Bolseiro de Investigação
Universidade do Minho Centro ALGORITMI, Portugal
Em curso
2018/03 - 2018/07 iFACTORY: Novas capacidades de Industrialização IFACTORY/SPCP-01/2018
IFACTORY/SPCP-01/2018
Bolseiro de Investigação
Universidade do Minho, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Gonçalves, C.; Ferreira, D.; Neto, C.; Abelha, A.; Machado, J.. "Prediction of mental illness associated with unemployment using data mining". 2020.
    10.1016/j.procs.2020.10.078
  2. Pinto, A.; Ferreira, D.; Neto, C.; Abelha, A.; Machado, J.. "Data mining to predict early stage chronic kidney disease". 2020.
    10.1016/j.procs.2020.10.079
  3. Miranda, Rui; Ferreira, Diana; Abelha, Antonio; Machado, Jose. "Intelligent Nutrition in Healthcare and Continuous Care". Trabalho apresentado em International Conference Engineering Applications – ICEA, Açores, 2019.
    Publicado • 10.1109/ceap.2019.8883496
  4. Ferreira, Diana; Peixoto, Hugo; Machado, Jose; Abelha, Antonio. "Predictive Data Mining in Nutrition Therapy". Trabalho apresentado em 13th APCA International Conference on Control and Soft-Computing, 2018.
    Publicado • 10.1109/controlo.2018.8516413
Artigo em revista
  1. Ferreira, Diana; Neto, Cristiana; Hak, Francini; Abelha, Antonio; Santos, Manuel; Machado, José. Autor correspondente: Ferreira, Diana. "Standardizing Corneal Transplantation Records with openEHR: Case Study". Journal of Medical Internet Research (JMIR) (2024):
    Em revisão
  2. Diana Ferreira; Cristiana Neto; José Lopes; Júlio Duarte; Antonio Abelha; José Manuel Ferreira Machado. "Predicting the Survival of Primary Biliary Cholangitis Patients". Applied Sciences (2022): https://www.mdpi.com/2076-3417/12/16/8043.
    10.3390/app12168043
  3. Oliveira, Daniela; Ferreira, Diana; Abreu, Nuno; Leuschner, Pedro; Abelha, António; Machado, José. "Prediction of COVID-19 diagnosis based on openEHR artefacts". Scientific Reports 12 1 (2022): http://dx.doi.org/10.1038/s41598-022-15968-z.
    10.1038/s41598-022-15968-z
  4. Nogueira, Francisca; Ferreira, Diana; Sousa, Regina; Abelha, António; Machado, José. "Integrating a New Generation of Interoperability Agents into the AIDA Platform". Journal of Digital Science 3 1 (2021): 54-64. http://dx.doi.org/10.33847/2686-8296.3.1_5.
    10.33847/2686-8296.3.1_5
  5. Martins, B.; Ferreira, D.; Neto, C.; Abelha, A.; Machado, J.. "Data Mining for Cardiovascular Disease Prediction". Journal of Medical Systems 45 1 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85098784234&partnerID=MN8TOARS.
    10.1007/s10916-020-01682-8
  6. Neto, C.; Senra, F.; Leite, J.; Rei, N.; Rodrigues, R.; Ferreira, D.; Machado, J.. "Different Scenarios for the Prediction of Hospital Readmission of Diabetic Patients". Journal of Medical Systems 45 1 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85098865327&partnerID=MN8TOARS.
    10.1007/s10916-020-01686-4
  7. Diana Ferreira; Sofia Silva; Antonio Abelha; José Machado. "Recommendation System Using Autoencoders". Applied Sciences (2020): https://www.mdpi.com/2076-3417/10/16/5510.
    10.3390/app10165510
  8. Ferreira, Diana; Neto, Cristiana; Abelha, António. "Monitoring and Maintenance of Web Service Processes in Health Units". International Journal of Reliable and Quality E-Healthcare 9 1 (2020): 25-36. http://dx.doi.org/10.4018/ijrqeh.2020010103.
    10.4018/ijrqeh.2020010103
  9. Neto, Cristiana; Ferreira, Diana; Abelha, António. "Improving the Decision-Making Process in a Hospital Environment With New Interactive Visualization Methods". International Journal of Reliable and Quality E-Healthcare 9 1 (2020): 13-24. http://dx.doi.org/10.4018/ijrqeh.2020010102.
    10.4018/ijrqeh.2020010102
Capítulo de livro
  1. Nogueira, Maria; Ferreira, Diana; Neto, Cristiana; Abelha, António; Machado, José. "Data Mining for the Prediction of Fetal Malformation Through Cardiotocography Data". In Advances in Intelligent Systems and Computing, 60-69. Springer International Publishing, 2021.
    Publicado • 10.1007/978-3-030-68418-1_7
  2. Neto, Cristiana; Rodrigues, Caroline; Mendonça, Emely; Sartori, Laercio; de Pinho, Rafaela; Ferreira, Diana; Abelha, António; Machado, José. "Data Mining Approach to Understand the Association Between Mental Disorders and Unemployment". In Advances in Intelligent Systems and Computing, 70-79. Springer International Publishing, 2021.
    10.1007/978-3-030-68418-1_8
  3. Abreu, Ana; Ferreira, Diana; Neto, Cristiana; Abelha, António; Machado, José. "Diagnosis of Diabetic Retinopathy Using Data Mining Classification Techniques". In Advances in Intelligent Systems and Computing, 198-209. Springer International Publishing, 2021.
    10.1007/978-3-030-71782-7_18
  4. Neto, Cristiana; Silva, Mateus; Fernandes, Mariana; Ferreira, Diana; Machado, José. "Prediction Models for Polycystic Ovary Syndrome Using Data Mining". In Advances in Intelligent Systems and Computing, 210-221. Springer International Publishing, 2021.
    10.1007/978-3-030-71782-7_19
  5. Ferreira, Diana. "Data Mining Approach to Classify Cases of Lung Cancer". 511-521. Springer International Publishing, 2021.
    10.1007/978-3-030-72657-7_49
  6. Neto, Cristiana; Ferreira, Diana; Ramos, José; Cruz, Sandro; Oliveira, Joaquim; Abelha, António; Machado, José. "Prediction Models for Coronary Heart Disease". In Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference, 119-128. Springer International Publishing, 2021.
    10.1007/978-3-030-86261-9_12
  7. Cunha, António F.; Ferreira, Diana; Neto, Cristiana; Abelha, António; Machado, José. "A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study". In Advances in Artificial Intelligence, Software and Systems Engineering, 156-164. Springer International Publishing, 2021.
    10.1007/978-3-030-80624-8_20
  8. Sousa, Regina; Ferreira, Diana; Machado, José; Abelha, António. "Step Towards Monitoring Intelligent Agents in Healthcare Information Systems". In Advances in Intelligent Systems and Computing. Springer, 2020.
    Aceite para publicação • 10.1007/978-3-030-45697-9_50
  9. Ferreira, Diana. "Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data". 549-560. Springer International Publishing, 2020.
    10.1007/978-3-030-62365-4_53
  10. Ferreira, Diana. "Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics". 309-321. Springer International Publishing, 2020.
    10.1007/978-3-030-62365-4_30
  11. Neves, José; Dias, Almeida; Silva, Cristiana; Ferreira, Diana; Costa, Luís; Ferraz, Filipa; Alves, Victor; et al. "Prediction of Neoadjuvant Chemotherapy Outcome in Breast Cancer Patients". In Applied Physics, System Science and Computers III, 324-332. Springer International Publishing, 2019.
    Publicado • 10.1007/978-3-030-21507-1_45
  12. Reis, Rita; Mendonça, Ana; Ferreira, Diana Lisandra Azevedo; Peixoto, Hugo; Machado, José. "Business Intelligence for Nutrition Therapy". In Next-Generation Mobile and Pervasive Healthcare Solutions, 203-218. IGI Global, 2018.
    Publicado • 10.4018/978-1-5225-2851-7.ch013
Livro
  1. Neto, C.; Pontes, G.; Domente, A.; Reinolds, F.; Costa, J.; Ferreira, D.; Machado, J.. Step Towards Predicting Patient Length of Stay in Intensive Care Units. 2021.
    10.1007/978-3-030-72654-6_28
  2. Ferreira, D.; Neto, C.; Machado, J.; Abelha, A.. Steps towards online monitoring systems and interoperability. 2019.
    10.1007/978-3-030-16187-3_51
  3. Neto, C.; Ferreira, D.; Abelha, A.; Machado, J.. Improving healthcare delivery with new interactive visualization methods. 2019.
    10.1007/978-3-030-16187-3_52
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2021/03/31 Data Mining Approach To Classify Cases of Lung Cancer WorldCist'21 - 9th World Conference on Information Systems and Technologies
(Terceira Island, Azores, Portugal)
2021/02/20 Diagnosis of Diabetic Retinopathy using Data Mining Classification Techniques ICADS 2021 – The 2021 International Conference on Advances in Digital Science
(Salvador, Brasil)
2019/04/17 Steps Towards Online Monitoring Systems and Interoperability WorldCist'19 - 7th World Conference on Information Systems and Technologies
(La Toja, Galicia, Espanha)
2019/04/17 Improving Healthcare Delivery with New Interactive Visualization Methods WorldCist'19 - 7th World Conference on Information Systems and Technologies
(La Toja, Galicia, Espanha)

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2021 - 2021 EAI AISCOVID-19 2021 - 2nd EAI International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities, November 24 - 26, 2021, Portugal. (2021/11/24 - 2021/11/26)
Conferência (Membro da Comissão Organizadora)

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2023/07/24 - 2023/07/28 1st European Summer School on Artificial Intelligence (ESSAI)
Outro
 1st European Summer School on Artificial Intelligence (ESSAI)
Univerza v Ljubljani Fakulteta za Racunalnistvo in Informatiko, Eslovénia

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2020/02 - 2020/07 Sistemas de Aprendizagem e Extracção de Conhecimento Engenharia Biomédica (Mestrado integrado) Universidade do Minho, Portugal

Membro de associação

Nome da associação Tipo de participação
2017 - Atual Associação para a Defesa dos Animais e Ambiente de Vila Verde (ADAAVV) Voluntário

Membro de comissão

Descrição da atividade
Tipo de participação 		Instituição / Organização
2021/02/03 - Atual Biomedical Engineering PhD student representative on the course committee
Membro
 Universidade do Minho, Portugal