Total: 86 | (72) Scopus | (33) ISI | (33) DBLP |
Journals
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Rui Miranda, Carlos Alves, Regina Sousa, António Chaves, Larissa Montenegro, Hugo Peixoto, Ricardo Machadom António Abelha, Paulo Novais, José Machado (2024). Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities, Electronics. 13, (pp ), MDPI. (Q2) Nº de citações: 0
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Fábio Gonçalves, Gonçalo O. Silva, Alexandre Santos, Ana Maria A. C. Rocha, Hugo Peixoto, Dalila Durães, José Machado (2023). Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors, Electronics. 12, (pp 24), MDPI. (Q2) Nº de citações: 1
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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, (pp 1-9), Springer US. (Q2) Nº de citações: 5
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Hugo Peixoto, Vasco Ramos, Carolina Marques and José Machado (2022). Predicting Diabetes Disease for healthy smart cities, EAI Endorsed Trans Smart Cities. 6(18), (pp ), EAI.
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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.
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Cristiana Neto,Maria Brito, Vítor Lopes, Hugo Peixoto, António Abelha and José Machado (2019). Application of Data Mining for the Prediction of Mortality and Occurrence of Complications for Gastric Cancer Patients, Entropy. 21, MDPI AG. (Q2) Nº de citações: 19
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Rita Reis, Hugo Peixoto, José Machado and António Abelha (2017). Machine Learning in Nutritional Follow-up Research, Open Computer Science. vol. 7 issue 1, (pp 41-45), de Gruyter. (Q3) Nº de citações: 5
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Joana Pereira, Hugo Peixoto, José Machado and António Abelha (2017). A Data Mining Approach for Cardiovascular Diagnosis, Open Computer Science. vol. 7 issue 1, (pp 36-40), de Gruyter. (Q3) Nº de citações: 4
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Ana Leite, Ana Rodrigues, Manuela Cruz, Hugo Peixoto, José Machado and António Abelha (2017). Evaluating the Prophylaxis of the Risk of Deep Vein Thrombosis Using Business Intelligence, Journal Health Medical Informatics. Vol. 8:284, OMICS International.
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André Dias, João Fernandes, Rui Monteiro, Hugo Peixoto, José Machado and António Abelha (2017). The Future of Records in Anesthesia: Development of an Anesthesia Data Warehouse, Journal Healthcare Communications. Vol. 2 N.4:61, iMedPub Journals.
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Hugo Peixoto, António Abelha, Manuel Santos and José Machado (2013). A Preventive Action Management Platform in Healthcare Information Systems, International Journal of Reliable and Quality E-Healthcare (IJRQEH). vol. 2(3), IGI Global.
Book Chapters
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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, (pp 171–182), Springer, Cham. (Q2) Nº de citações: 0
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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, (pp 720-725), Elsevier.
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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 (pp 53-62), Springer International Publishing. (Q4)
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Carolina Marques, Vasco Ramos, Hugo Peixoto and José Machado (2022). Predicting Diabetes Disease in the Female Adult Population, Using Data Mining. 432, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (pp 63-73), Springer International Publishing. (Q4)
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António Castanheira, Hugo Peixoto and José Machado (2021). Overcoming Challenges in Healthcare Interoperability Regulatory Compliance. 1239, Advances in Intelligent Systems and Computing (pp 44-53), Springer. (Q3)
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Diana Costa, Carlos Pereira, Hugo Peixoto and José Machado (2020). Anticipating Maintenance in Telecom Installation Processes. 12490, Lecture Notes in Computer Science (LNCS) (pp 322-334), Springer International Publishing. (Q2)
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Vitor Peixoto, Hugo Peixoto and José Machado (2020). Integrating a Data Mining Engine into Recommender Systems. 12490, Lecture Notes in Computer Science (LNCS) (pp 209-220), Springer International Publishing. (Q2)
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Gil Cunha, Hugo Peixoto and José Machado (2020). Improving Performance of Recommendation System Architecture. 12490, Lecture Notes in Computer Science (LNCS) (pp 495-506), Springer International Publishing. (Q2)
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Hugo Peixoto, Alexandra Francisco, Ana Duarte, Márcia Esteves, Sara Oliveira, Vítor Lopes, António Abelha, and José Machado (2019). Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), vol. 273, Intelligent Technologies for Interactive Entertainment (pp 37-46), Springer, Cham. (Q4)
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Patricia Loreto, Hugo Peixoto, António Abelha and José Machado (2019). Predicting Low Birth Weight Babies Through Data Mining. Advances in Intelligent Systems and Computing vol. 932, New Knowledge in Information Systems and Technologies (pp 567-577), Springer, Cham. (Q3)
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Manuela Cruz, Marisa Esteves, Hugo Peixoto, António Abelha and José Machado (2019). Application of Data Mining for the Prediction of Prophylactic Measures in Patients at Risk of Deep Vein Thrombosis. Advances in Intelligent Systems and Computing vol. 932, New Knowledge in Information Systems and Technologies (pp 557-567), Springer, Cham. (Q3)
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Hugo Peixoto, Lara Correia e Silva, Soraia Pereira, Tiago Jesus, Vítor Lopes, António Abelha e José Machado (2019). Predicting Death and Morbidity in Perforated Peptic Ulcer. Advances in Intelligent Systems and Computing vol. 918, Information Technology and Systems (pp 569-579), Springer, Cham. (Q3)
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José Machado, Ana Catarina Cardoso, Inês Gomes, Inês Silva, Vítor Lopes, Hugo Peixoto and António Abelha (2019). Predicting the Length of Hospital Stay After Surgery for Perforated Peptic Ulcer. Advances in Intelligent Systems and Computing vol. 918, Information Technology and Systems (pp 569-579), Springer, Cham. (Q3)
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Rita Reis, Ana Mendonça, Diana Ferreira, Hugo Peixoto and Jose Machado (2019). Business intelligence for nutrition therapy. Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications (pp 459-474), IGI Global. Nº de citações: 1
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Patrícia Loreto, Jorge Braga, Hugo Peixoto, José Machado and António Abelha (2018). Step Towards Progressive Web Development in Obstetrics. Procedia Computer Science vol. 141, (pp 525-530), Elsevier.
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Cristiana Neto, Inês Dias, Maria Santos, Hugo Peixoto and José Machado (2019). Applied Business Intelligence in Surgery Waiting Lists Management. vol. 3, Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications (pp 1580-1594), IGI Global. Nº de citações: 2
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Cristiana Silva, Daniela Oliveira, Hugo Peixoto, António Abelha and José Machado (2018). Data Mining for Prediction of Length of Stay of Cardiovascular Accident Inpatients. vol. 858, Digital Transformation and Global Society, Communications in Computer and Information Science (CICIS) (pp 516-527), Springer, Cham. (Q3)
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Mariana Rodrigues, Hugo Peixoto, Marisa Esteves, José Machado and António Abelha (2017). Understanding Stroke in Dialysis and Chronic Kidney Disease. Procedia Computer Science vol. 113, (pp 591-596), Elsevier. Nº de citações: 6
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Ana Morais, Hugo Peixoto, Cecília Coimbra, António Abelha and José Machado (2017). Predicting the need of Neonatal Resuscitation using Data Mining. Procedia Computer Science vol. 113, (pp 571-576), Elsevier. Nº de citações: 6
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Francisca Fonseca, Hugo Peixoto, Filipe Miranda, José Machado and António Abelha (2017). Step Towards Prediction of Perineal Tear. Procedia Computer Science vol. 113, (pp 565-570), Elsevier. Nº de citações: 4
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Rita Reis, Ana Mendonça, Diana Ferreira, Hugo Peixoto and José Machado (2017). Business Intelligence for Nutrition Therapy. Next-Generation Mobile and Pervasive Healthcare Solutions (pp 203-218), IGI Global.
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Cristiana Neto, Inês Dias, Maria Santos, Hugo Peixoto and José Machado (2017). Applied Business Intelligence in Surgery Waiting Lists Management. Next-Generation Mobile and Pervasive Healthcare Solutions (pp 171-185), IGI Global.
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Hugo Peixoto, Andréa Domingues and Bruno Fernandes (2016). Steps towards interoperability in healthcare environment. Applying Business Intelligence to Clinical and Healthcare Organizations (pp 23), IGI Global. Nº de citações: 10
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Hugo Peixoto, Júlio Duarte, António Abelha, Manuel Santos and José Machado (2012). ScheduleIT – Open-Source Preventive Actions Management Plataform in Healthcare Information Systems. Procedia Technology, vol. 5, 4th Conference of ENTERprise Information Systems – aligning technology, organizations and people (CENTERIS 2012) (pp 734-742), Elsevier.
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Hugo Peixoto, Manuel Santos, António Abelha and José Machado (2012). Intelligence in Interoperability with AIDA. Lecture Notes in Computer Science (LNCS), vol. 7661, Foundations of Intelligent Systems (pp 264-273), Springer, Berlin, Heidelberg. (Q2) Nº de citações: 37
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Miguel Miranda, Gabriel Pontes, Pedro Gonçalves, Hugo Peixoto, Manuel Santos, António Abelha, José Machado (2010). Modelling Intelligent Behaviours in Multi-agent Based HL7 Services. Studies in Computational Intelligence (SCI), vol. 317, Computer and Information Science 2010 (pp 95-106), Springer, Berlin, Heidelberg. (Q4) Nº de citações: 17
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Hugo Peixoto, José Machado, José Neves and António Abelha (2010). Semantic Interoperability and Health Records. IFIP Advances in Information and Communication Technology (IFIPAICT), vol. 335, E-Health (pp 236-237), Springer, Berlin, Heidelberg. (Q3) Nº de citações: 13
Conference Papers
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Lídia Sousa, Rui Silva, Hugo Peixoto, Pedro Melo-Pinto, André Costa, César Melo, Pedro Delgado, Vitor Fukuda and José Machado (2024). Enhancing Automotive Products with TinyML and MEMS Sensors: A Preliminary Approach. Communications in Computer and Information Science (CCIS), volume 2318, Data Science and Artificial Intelligence (pp 194–208), Springer Nature Singapore. Nº de citações: 0
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Rita Sousa, Carlos Esteves, António Abelha, Hugo Peixoto (2024). Streamlining Healthcare Quality Management with an Web Audit Platform. Procedia Computer Science, 238, The 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40) (pp 944–949), Science Direct. Nº de citações: 0
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Regina Sousa, Madalena Passos, Mariana Almeida, Mariana Ribeiro, Hugo Peixoto (2024). Harnessing Data Mining to Predict Survival Outcomes in Patients with Hepatic Cirrhosis. Procedia Computer Science, Volume 238, The 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40) (pp 938-943), Science Direct. Nº de citações: 0
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Regina Sousa, Madalena Passos, Mariana Almeida, Mariana Ribeiro, Hugo Peixoto (2024). Towards a Standardized Real-Time Data Repository based on Laboratory Test Results. 231, (pp 452-457), Elsevier. Nº de citações: 0
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Regina Sousa, Cláudia Ribeiro, Cátia Cardoso, Bárbara Freixo, Hugo Peixoto, António Abelha, José Machado (2024). The Interplay of Inflation, Healthcare Spending, and Suicide Rates: An Empirical Analysis. 932, (pp 467-476), Springer Nature Switzerland. Nº de citações: 0
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António Chaves, Regina Sousa, José Machado, António Abelha, Hugo Peixoto (2024). Collaborative Platform for Intelligent Monitoring of Diabetic Foot Patients - Colab4IMDF. 932, (pp 195–204), Springer Nature Switzerland. Nº de citações: 0
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Miguel Dias, Regina Sousa, Júlio Duarte, Hugo Peixoto, António Abelha and José Machado (2023). Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures. Communications in Computer and Information Science, 1942, Data Science and Artificial Intelligence (pp 288-299), Springer Nature Singapore. Nº de citações: 0
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Vasco Ramos, Carolina Marques, Hugo Peixoto and José Machado (2023). Information Technology Monitoring in Healthcare: A Case Study. Lecture Notes in Networks and Systems, 485, Information Technology and Systems. ICITS 2023 (pp 351-361), Springer, Cham.. Nº de citações: 0
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António Chaves, Regina Sousa, António Abelha and Hugo Peixoto (2023). Steps Towards Intelligent Diabetic Foot Ulcer Follow-Up Based on Deep Learning. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 692, 3rd International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19 2022 (pp 81-90), Springer, Cham.. Nº de citações: 0
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Regina Sousa, Hugo Peixoto, António Abelha and José Machado (2023). Implementing a Software-as-a-Service strategy in healthcare workflows. , Distributed Computing and Artificial Intelligence, 20th International Conference (pp 347–356), Springer Nature Switzerland. Nº de citações: 0
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Eduardo Coelho, Nuno Pimenta, Hugo Peixoto, Dalila Durães, Pedro Melo, Vítor Alves, Lourenço Bandeira, José Machado and Paulo Novais (2023). Multi-Agent System for Multimodal Machine Learning Object Detection. , Hybrid Artificial Intelligent Systems (pp 673-681), Springer Nature Switzerland. Nº de citações: 0
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António Chaves, Larissa Montenegro, Hugo Peixoto, António Abelha, Luis Gomes and José Machado (2023). Intelligent Systems in Healthcare: an Architecture proposal. , Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence (pp 230-238), Springer Nature Switzerland. Nº de citações: 0
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Afonso Lobo, Agostinho Barbosa, Hugo Peixoto, Tiago Guimarães, Manuel Santos and João Lopes (2023). Better Medical Efficiency by means of Hospital Bed Management Optimization – a Comparison of Artificial Intelligence Techniques. 14116, Lecture Notes in Computer Science (pp 260-273), Springer. (Q3) Nº de citações: 0
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Rui Miranda, Eduarda Ribeiro, Dalila Durães, Hugo Peixoto, Ricardo Machado, António Abelha and José Machado (2023). Smart Cities using Crowdsensing and Geoferenced Notifications. , Sustainable Smart Cities and Territories International Conference (pp 97–110), Springer. Nº de citações: 0
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Ines Silva, Diana Ferreira, Hugo Peixoto, José Machado (2023). A Data Acquisition and Consolidation System based on openEHR applied to Physical Medicine and Rehabilitation. Procedia Computer Science. 200, The 14th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2022) and The 6th International Conference on Emerging Data and Industry 4.0 (EDI40) (pp 844-849), Science Direct. Nº de citações: 0
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Lara Vaz, Hugo Peixoto, Júlio Duarte, César Alvarez and José Machado (2023). Enhancing Clinical Management of Bariatric Surgery Using Business Intelligence. Procedia Computer Science. 200, The 14th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2022) and The 6th International Conference on Emerging Data and Industry 4.0 (EDI40) (pp 850-855), Science Direct. Nº de citações: 0
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Nuno Pimenta, António Chaves, Regina Sousa, António Abelha and Hugo Peixoto (2023). Interoperability of Clinical Data through FHIR: A review. Procedia Computer Science. 200, The 14th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2022) and The 6th International Conference on Emerging Data and Industry 4.0 (EDI40) (pp 856-861), Science Direct. Nº de citações: 0
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Rita Sousa, Regina Sousa, Hugo Peixoto and José Machado (2023). Prediction models applied to lung cancer using Data Mining. 1089, (pp 195–200), Springer International Publishing. Nº de citações: 0
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Nuno Pimenta, Regina Sousa, Hugo Peixoto and José Machado (2023). A comprehensive study on personal and medical information to predict diabetes. , (pp 197-207), Springer International Publishing. Nº de citações: 0
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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. Lecture Notes in Computer Science book series vol. 13756), Intelligent Data Engineering and Automated Learning – IDEAL 2022 (pp 199-210), Springer International Publishing. (Q2) Nº de citações: 0
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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. Procedia Computer Science vol.210, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 254-259), Elsevier B.V.. Nº de citações: 0
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Diogo Peixoto, Agostinho Barbosa, Hugo Peixoto, João Lopes, Tiago Guimarães, Manuel Santos (2022). Predictive analytics for hospital inpatient flow determination. Procedia Computer Science vol.210, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 224-229), Elsevier B.V.. Nº de citações: 0
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Ana Afonso, César Alvaréz, Diana Ferreira, Daniela Oliveira, Hugo Peixoto, António Abelha and José Machado (2022). OpenEHR based bariatric surgery follow-up. Procedia Computer Science vol.210, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 271-276), Elsevier B.V.. Nº de citações: 0
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Larissa Montenegro, Hugo Peixoto and José Machado (2022). Evaluation of Transfer Learning to improve Arrhythmia Classification for a small ECG Database. , (pp 231-242), Springer International Publishing. (Q2) Nº de citações: 1
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Catarina Oliveira, Regina Sousa, Hugo Peixoto and José Machado (2022). Improving the Effectiveness of Heart Disease Diagnosis with Machine Learning. , Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection (pp 222-231), Springer International Publishing. Nº de citações: 0
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Regina Sousa, Diogo Lopes, António Silva, Dalila Durães, Hugo Peixoto, José Machado and Paulo Novais (2022). Sustainable and Social Energy on Smart Cities: Systematic Review. 1676, (pp 72-84), Springer, Cham. Nº de citações: 0
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Maria João Vaz, João Lopes, Hugo Peixoto, Manuel Filipe Santos (2022). Predictive Analytics to support diabetic patient detection. Procedia Computer Science vol.201, The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 690-695), Elsevier B.V..
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Rui Santos, Ana Regina Sousa, Manuel Filipe Santos, António Abelha and Hugo Peixoto (2022). Real-Time UCI Monitoring Using Apache Kafka. , (pp 1-37), IGI Global.
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Maria Pinto, Hugo Peixoto, Alexandre Ulisses and Pedro Santos (2022). Online platform for viewing trends and opinions on sports events based on Social Media Data. , (pp ), IEEE.
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António Chaves, Tiago Guimarães, Júlio Duarte, Hugo Peixoto, António Abelha, José Machado (2021). Development of FHIR based web applications for appointment management in healthcare. Procedia Computer Science vol.184, The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 917-022), Elsevier B.V.. (Q4) Nº de citações: 2
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Ricardo Cruz, Tiago Guimarães, Hugo Peixoto, Manuel Filipe Santos (2021). Architecture for Intensive Care Data Processing and Visualization in Real-time. Procedia Computer Science vol.184, The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 923-928), Elsevier B.V..
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Cristiana Neto, Maria Brito, Hugo Peixoto, Vítor Lopes, António Abelha and José Machado (2020). Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks. 1159, Advances in Intelligent Systems and Computing (pp 212-221), Springer, Cham. (Q3) Nº de citações: 4
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Tiago Guimarães, Ailton Moreira, Hugo Peixoto, Manuel Filipe Santos (2020). ICU data management - A permissioned blockchain approach. Procedia Computer Science vol.177, The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2020) / Affiliated Workshops (pp 546-551), Elsevier B.V.. Nº de citações: 3
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Hugo Peixoto, Tiago Guimarães, Manuel Filipe Santos (2020). A New Architecture for Intelligent Clinical Decision Support for Intensive Medicine. Procedia Computer Science vol.170, The 11th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 1035-1040), Elsevier B.V.. Nº de citações: 4
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Tiago Guimarães, Hugo Silva, Hugo Peixoto and Manuel Filipe Santos (2020). Modular Blockchain Implementation in Intensive Medicine. Procedia Computer Science vol.170, The 11th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops (pp 1035-1040), Elsevier. Nº de citações: 3
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Francisca Fonseca, Hugo Peixoto, Jorge Braga, José Machado and António Abelha (2019). Smart Mobile Computing in Pregnancy Care. vol. 58, Proceedings of 34th International Conference on Computers and Their Applications (pp 219-224), Nº de citações: 1
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Marco Prata, Hugo Peixoto, José Machado and António Abelha (2018). Data Mining in Urgency Department: Medical Specialty Discharge Prediction. (pp 28-35), EUROSIS. Nº de citações: 1
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Diana Ferreira, Hugo Peixoto, José Machado and António Abelha (2018). Predictive Data Mining in Nutrition Therapy. IEEE. Nº de citações: 3
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Cristiana Silva, Hugo Peixoto, José Machado and António Abelha (2018). Prediction of Stroke Patient Length of Stay using Data Mining.
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Catarina Peixoto, Hugo Peixoto, José Machado, António Abelha and Manuel Santos (2018). Iron value classification in patients undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining.
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Patrícia Loreto, Francisca Fonseca, Ana Morais, Hugo Peixoto, António Abelha and José Machado (2017). Improving Maternity Care with Business Intelligence. Nº de citações: 6
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Catarina Peixoto, Cláudia Brito, Mariana Fontainhas, António Abelha, Hugo Peixoto and José Machado (2017). Continuous Ambulatory Peritoneal Dialysis: Business Intelligence applied to patient monitoring.
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Cristiana Silva, Joana Pereira, Luís Costa, António Abelha, Hugo Peixoto and José Machado (2017). Business Intelligence for Cardiovascular Disease Assessment.
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Marta Serapicos, Hugo Peixoto and Victor Alves (2017). A Hospital Service Kiosk in the Patient’s Pocket. Advances in Intelligent Systems and Computing vol. 615, (pp 218-228), Springer, Cham.
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Hugo Peixoto, José Machado, António Abelha, José Neves, António Correia and Manuel F.Santos (2011). AASYS - Appointment Alert System: An Open Source-Based Software to improve Show Rates in a Health Care Unit. Nº de citações: 3
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Hugo Peixoto, José Machado and António Abelha (2010). Interoperabilidade e o Processo Clínico Semântico.
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Hugo Peixoto and Vitor Alves (2009). Computer-Aided Diagnosis in Brain Computed Tomography Screening. Lecture Notes in Computer Science (LNCS), vol. 5633 and Lecture Notes in Artificial Intelligence (LNAI), vol. 5633, Advances in Data Mining. Applications and Theoretical Aspectsy (pp 62–72), Springer, Berlin, Heidelberg. (Q2)