The Association Between Comorbidities and Prescribed Drugs in Patients With Suspected Obstructive Sleep Apnea: Inductive Rule Learning Approach by Daniela Ferreira-Santos, Pedro Pereira Rodrigues

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The Role of Novel Digital Clinical Tools in the Screening or Diagnosis of Obstructive Sleep Apnea: Systematic Review by Miguel Duarte, Pedro Pereira-Rodrigues, Daniela Ferreira-Santos

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A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks by Pedro Pereira Rodrigues, João Araújo, João Gama, Luís Lopes

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Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models by João Coutinho-Almeida, Ricardo João Cruz-Correia, Pedro Pereira Rodrigues

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Prospective Validation and Usability Evaluation of a Mobile Diagnostic App for Obstructive Sleep Apnea by Pedro Amorim, Daniela Ferreira-Santos, Marta Drummond, Pedro Pereira Rodrigues

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Process Evaluation of a Mixed Methods Feasibility Study to Identify Hospital Patients with Palliative Care Needs in Portugal by Bárbara Antunes, Pedro Pereira Rodrigues, Irene J. Higginson, Pedro Lopes Ferreira

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Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study by João Coutinho-Almeida, Alexandrina Cardoso, Ricardo Cruz-Correia, Pedro Pereira-Rodrigues

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Dynamic treatment regimes (DTRs) to study treatment sequencing in oncology: a scoping review protocol by Maria Gomes da Silva, Susana Esteves, João Miguel Alves, Pedro Pereira Rodrigues

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CDK4/6 inhibitors and endocrine therapy in the treatment of metastatic breast cancer: A real-world and propensity score-adjusted comparison by João Coutinho-Almeida, Ana Sofia Silva, Patrícia Redondo, Pedro Pereira Rodrigues, Ana Ferreira

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Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review by Daniela Ferreira-Santos, Pedro Amorim, Tiago Silva Martins, Matilde Monteiro-Soares, Pedro Pereira Rodrigues

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Overcoming Challenges in Video-Based Health Monitoring: Real-World Implementation, Ethics, and Data Considerations by Simão Ferreira, Catarina Marinheiro, Catarina Mateus, Pedro Pereira Rodrigues, Matilde A. Rodrigues, Nuno Rocha

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Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol by Ara Darzi, Ben Glampson, Abdulrahim Mulla, Ana Luísa Neves, Tony Willis, Erik Mayer, Pedro Pereira Rodrigues

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Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity by Sofia Leite, Bruno Mota, António Ramos Silva, Michael Lamport Commons, Patrice Marie Miller, Pedro Pereira Rodrigues

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Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. by Sofia Leite, Bruno Mota, António Ramos Silva, Michael Lamport Commons, Patrice Marie Miller, Pedro Pereira Rodrigues

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Correction: Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. by Sofia Leite, Bruno Mota, António Ramos Silva, Michael Lamport Commons, Patrice Marie Miller, Pedro Pereira Rodrigues

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Correction: Effectiveness of Secondary Risk–Reducing Strategies in Patients With Unilateral Breast Cancer With Pathogenic Variants of BRCA1 and BRCA2 Subjected to Breast-Conserving... by Jelena Maksimenko, Pedro Pereira Rodrigues, Miki Nakazawa-Miklaševiča, David Pinto, Edvins Miklaševičs, Genadijs Trofimovičs, Jānis Gardovskis, Fatima Cardoso, Maria João Cardoso

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Effectiveness of Secondary Risk–Reducing Strategies in Patients With Unilateral Breast Cancer With Pathogenic Variants of BRCA1 and BRCA2 Subjected to Breast-Conserving Surgery: Ev... by Jelena Maksimenko, Pedro Pereira Rodrigues, Miki Nakazawa-Miklaševiča, David Pinto, Edvins Miklaševičs, Genadijs Trofimovičs, Jānis Gardovskis, Fatima Cardoso, Maria João Cardoso

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COVID-19 surveillance data quality issues: a national consecutive case series by Ana Margarida Pereira, Ricardo Correia, Joao A Fonseca, Alberto Freitas, Teresa S Henriques, Cristina Costa-Santos, Altamiro Costa-Pereira, Paulo Santos, Matilde Monteiro-Soares, Inês Ribeiro-Vaz, Pedro Pereira Rodrigues

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Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach by João Miguel Alves, Daniel Matos, Tiago Martins, Diogo Cavaco, Pedro Carmo, Pedro Galvão, Francisco Moscoso Costa, Francisco Morgado, António Miguel Ferreira, Pedro Freitas, Cláudia Camila Dias, Pedro Pereira Rodrigues, Pedro Adragão

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