Simão Pedro Mendes Cruz Reis Paredes


AuthID: R-000-R8J

Confirmed Publications: 95



1
TITLE: Cardiovascular Risk Assessment: An Interpretable Machine Learning Approach
AUTHORS: Paredes, S. ; Rocha, T. ; de Carvalho, P.; Roseiro, I.; Henriques, J.; Sousa, J.;
PUBLISHED: 2024, SOURCE: 5th International Conference on Biomedical and Health Informatics (ICBHI) in INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS 2022, ICBHI 2022, VOLUME: 108
INDEXED IN: Scopus WOS
2
TITLE: Interpretability and Explainability of Machine Learning Models: Achievements and Challenges
AUTHORS: Henriques, J.; Rocha, T. ; de Carvalho, P.; Silva, C.; Paredes, S. ;
PUBLISHED: 2024, SOURCE: 5th International Conference on Biomedical and Health Informatics (ICBHI) in INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS 2022, ICBHI 2022, VOLUME: 108
INDEXED IN: Scopus WOS
3
TITLE: Interpretability and Personalization Aspects in the Development of Clinical Risk Assessment Models
AUTHORS: Paredes, S. ; Sousa, S.; Henriques, J.; Rocha, T. ; Paulo Gil; Goncalves, L.;
PUBLISHED: 2024, SOURCE: Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) and International Conference on Medical and Biological Engineering (CMBEBIH) in MEDICON 2023 AND CMBEBIH 2023, VOL 1, VOLUME: 93
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
4
TITLE: Machine learning models' assessment: trust and performance
AUTHORS: Sousa, S.; Paredes, S. ; Rocha, T.; Henriques, J.; Sousa, J.; Goncalves, L.;
PUBLISHED: 2024, SOURCE: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
5
TITLE: Pointwise Reliability of Machine Learning Models: Application to Cardiovascular Risk Assessment
AUTHORS: Henriques, Jorge; Rocha, Teresa ; Paredes, Simao ; Paulo Gil; Loureiro, Joao; Petrella, Lorena;
PUBLISHED: 2024, SOURCE: 9th European Medical and Biological Engineering Conference (EMBEC) in 9TH EUROPEAN MEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE, VOL 2, EMBEC 2024, VOLUME: 113
INDEXED IN: Scopus WOS CrossRef
6
TITLE: An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment
AUTHORS: Roseiro, M.; Henriques, J.; Paredes, S. ; Rocha, T. ; Sousa, J.;
PUBLISHED: 2023, SOURCE: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, VOLUME: 230
INDEXED IN: Scopus WOS CrossRef: 10
IN MY: ORCID
7
TITLE: Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review  Full Text
AUTHORS: Mesquita, F.; Jorge Bernardino ; Henriques, J.; Raposo, J. F.; Ribeiro, R. T.; Paredes, S. ;
PUBLISHED: 2023, SOURCE: JOURNAL OF DIABETES AND METABOLIC DISORDERS, VOLUME: 23, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef Unpaywall
8
TITLE: Interpretability, personalization and reliability of a machine learning based clinical decision support system
AUTHORS: Valente, F.; Paredes, S. ; Henriques, J.; Rocha, T.; de Carvalho, P.; Morais, J.;
PUBLISHED: 2022, SOURCE: DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 36, ISSUE: 3
INDEXED IN: Scopus WOS CrossRef: 10
IN MY: ORCID
9
TITLE: Machine learning in the context of better healthcare in aging
AUTHORS: Henriques, J; Ribeiro, C; Rocha, T; Paredes, S ; De Carvalho, P; Duarte, AI; Freitas, AA; Cunha Oliveira, T; Pereira, FB ;
PUBLISHED: 2022, SOURCE: Aging: From Fundamental Biology to Societal Impact
INDEXED IN: Scopus CrossRef
IN MY: ORCID
10
TITLE: Models for risk assessment and stratification
AUTHORS: Rocha, T; Paredes, S ; De Carvalho, P; Henriques, J;
PUBLISHED: 2022, SOURCE: Personalized Health Systems for Cardiovascular Disease
INDEXED IN: Scopus CrossRef
IN MY: ORCID
Page 1 of 10. Total results: 95.

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