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TITLE: Interpretability and Personalization Aspects in the Development of Clinical Risk Assessment Models
AUTHORS: Paredes, S; Sousa, S; Henriques, J; Rocha, T; Paulo Gil; Gonçalves, L;
PUBLISHED: 2024, SOURCE: 16th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2023 and 5th International Conference on Medical and Biological Engineering, CMBEBIH 2023 in IFMBE Proceedings, VOLUME: 93
INDEXED IN: Scopus
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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 2022 in IFMBE Proceedings, VOLUME: 108
INDEXED IN: Scopus
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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
INDEXED IN: Scopus WOS
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TITLE: Automatic Difficulty Balance in Two-Player Games with Deep Reinforcement Learning
AUTHORS: Simao Reis; Rita Novais; Luis Paulo Reis ; Nuno Lau;
PUBLISHED: 2023, SOURCE: IEEE Conference on Computatonal Intelligence and Games, CIG
INDEXED IN: Scopus
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TITLE: Interpretability, personalization and reliability of a machine learning based clinical decision support system  Full Text
AUTHORS: Valente, F.; Paredes, S.; Henriques, J.; Rocha, T.; de Carvalho, P.; Morais, J.;
PUBLISHED: 2022, SOURCE: DATA MINING AND KNOWLEDGE DISCOVERY
INDEXED IN: Scopus WOS
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TITLE: A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario  Full Text
AUTHORS: Valente, F; Henriques, J ; Paredes, S; Rocha, T; de Carvalho, P ; Morais, J;
PUBLISHED: 2021, SOURCE: ARTIFICIAL INTELLIGENCE IN MEDICINE, VOLUME: 117
INDEXED IN: Scopus WOS CrossRef: 1
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TITLE: Improving the compromise between accuracy, interpretability and personalization of rule-based machine learning in medical problems
AUTHORS: Valente, Francisco; Henriques, Jorge; Paredes, Simao; Rocha, Teresa; de Carvalho, Paulo; Morais, Joao;
PUBLISHED: 2021, SOURCE: 43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC) in 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
INDEXED IN: WOS
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TITLE: Myocardial infarction affects Cx43 content of extracellular vesicles secreted by cardiomyocytes
AUTHORS: Martins Marques, T; Ribeiro Rodrigues, T; de Jager, SC; Zuzarte, M; Ferreira, C; Cruz, P; Reis, L; Baptista, R; Goncalves, L; Sluijter, JPG; Girao, H ;
PUBLISHED: 2020, SOURCE: LIFE SCIENCE ALLIANCE, VOLUME: 3, ISSUE: 12
INDEXED IN: Scopus WOS
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TITLE: Latent states extraction through Kalman Filter for the prediction of heart failure decompensation events
AUTHORS: Nunes, D; Rocha, T; Traver, V; Teixeira, C; Ruano, M; Paredes, S; Carvalho, P ; Henriques, J ;
PUBLISHED: 2019, SOURCE: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
INDEXED IN: Scopus WOS
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