Total: 101     (89) Scopus     (43) ISI/WoS     (70) DBLP

Journals

  1. Loureiro, C and Dixe, S and Neto, C and Silva, A and Miranda, B and Rodrigues, R and Da Costa, NMC and Ferreira, C and Peixoto, H and Machado, J and Fernandes, D (2026). From Synthetic Data to Real-World Efficiency: Automated Vehicle Damage Detection and Vehicle Parts Segmentation. IEEE ACCESS. Vol. 14, pp. 11230-11250. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. DOI: 10.1109/access.2026.3653645. scopus isiwebofknowledge dblp

  2. Braga, D and Silva, I and Rosário, R and Novais, P and Peixoto, H and Machado, J (2025). Exploring the potential of online social listening for noncommunicable disease monitoring. PEERJ. Vol. 13(5), pp. e19311. PEERJ INC. DOI: 10.7717/peerj.19311. scopus isiwebofknowledge

  3. Miranda, R and Alves, C and Sousa, R and Chaves, A and Montenegro, L and Peixoto, H and Duraes, D and Machado, R and Abelha, A and Novais, P and Machado, J (2024). Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities. ELECTRONICS. Vol. 13(3), pp. 550. MDPI. DOI: 10.3390/electronics13030550. scopus isiwebofknowledge Nº de citações: 14

  4. Machado, J and Sousa, R and Peixoto, H and Abelha, A (2024). Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach. AI. Vol. 5(4), pp. 2707-2724. MDPI. DOI: 10.3390/ai5040130. scopus isiwebofknowledge Nº de citações: 2

  5. Sousa, R and Abelha, V and Peixoto, H and Machado, J (2024). Unlocking Healthcare Data Potential: A Comprehensive Integration Approach with GraphQL, openEHR, Redis, and Pervasive Business Intelligence. TECHNOLOGIES. Vol. 12(12), pp. 265. MDPI. DOI: 10.3390/technologies12120265. scopus isiwebofknowledge Nº de citações: 1

  6. Gonçalves, F and Silva, GO and Santos, A and Rocha, AMAC and Peixoto, H and Duraes, D and Machado, J (2023). Urban Traffic Simulation Using Mobility Patterns Synthesized from Real Sensors. ELECTRONICS. Vol. 12(24), pp. 4971. MDPI. DOI: 10.3390/electronics12244971. scopus isiwebofknowledge Nº de citações: 7

  7. Brito, C and Esteves, M and Peixoto, H and Abelha, A and Machado, J (2022). A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis. WIRELESS NETWORKS. Vol. 28(3), pp. 1269-1277. SPRINGER. DOI: 10.1007/s11276-018-01905-4. scopus isiwebofknowledge dblp Nº de citações: 11

  8. Peixoto, H and Ramos, V and Marques, C and Machado, J (2022). Predicting Diabetes Disease for healthy smart cities. EAI Endorsed Transactions on Smart Cities. Vol. 6(18), pp. e1. European Alliance for Innovation n.o.. DOI: 10.4108/eetsc.v6i18.589. Nº de citações: 2

  9. Peixoto, H and Silva, L and Pereira, S and Jesus, T and Lopes, VN and Abelha, A (2020). Death and morbidity prediction using data mining in perforated peptic ulcers. International Journal of Reliable and Quality E-Healthcare. Vol. 9(1), pp. 37-49. IGI Global. DOI: 10.4018/ijrqeh.2020010104. scopus Nº de citações: 1

  10. Neto, C and Brito, M and Lopes, V and Peixoto, H and Abelha, A and Machado, J (2019). Application of Data Mining for the Prediction of Mortality and Occurrence of Complications for Gastric Cancer Patients. ENTROPY. Vol. 21(12), pp. 1163. MDPI. DOI: 10.3390/e21121163. scopus isiwebofknowledge dblp Nº de citações: 33

  11. Pereira, J and Peixoto, H and Machado, J and Abelha, A (2017). A Data Mining Approach for Cardiovascular Diagnosis. OPEN COMPUTER SCIENCE. Vol. 7(1), pp. 36-40. DE GRUYTER POLAND SP ZOO. DOI: 10.1515/comp-2017-0007. scopus isiwebofknowledge dblp Nº de citações: 7

  12. Reis, R and Peixoto, H and Machado, J and Abelha, A (2017). Machine Learning in Nutritional Follow-up Research. OPEN COMPUTER SCIENCE. Vol. 7(1), pp. 41-45. DE GRUYTER POLAND SP ZOO. DOI: 10.1515/comp-2017-0008. scopus isiwebofknowledge dblp Nº de citações: 22

  13. Leite, A and Rodrigues, A and Cruz, M and Peixoto, H and Machado, J and Abelha, A (2017). Evaluating the Prophylaxis of the Risk of Deep Vein ThrombosisU sing Business Intelligence. Journal of Health & Medical Informatics. Vol. 08(04), OMICS Publishing Group. DOI: 10.4172/2157-7420.1000284. Nº de citações: 1

Book Chapters

  1. Santos, R and Sousa, AR and Santos, MF and Abelha, A and Peixoto, H (2022). Real-Time UCI Monitoring Using Apache Kafka. In Advances in Medical Technologies and Clinical Practice - Big Data Analytics and Artificial Intelligence in the Healthcare Industry. pp. 1-37. IGI Global. DOI: 10.4018/978-1-7998-9172-7.ch001. Nº de citações: 1

  2. Peixoto, H and Domingues, A and Fernandes, B (2019). Steps towards interoperability in healthcare environment. In __. Vol. 1-2, pp. 482-499. IGI Global. DOI: 10.4018/978-1-5225-9863-3.ch023. scopus Nº de citações: 1

  3. Reis, R and Mendonça, A and Ferreira, DLA and Peixoto, H and Machado, J (2018). Business intelligence for nutrition therapy. In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications. Vol. 1, pp. 459-474. IGI Global. DOI: 10.4018/978-1-5225-6915-2.ch022. scopus Nº de citações: 2

  4. Neto, C and Dias, I and Santos, M and Peixoto, H and Machado, J (2018). Applied business intelligence in surgery waiting lists management. In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications. Vol. 3, pp. 1580-1594. IGI Global. DOI: 10.4018/978-1-5225-6915-2.ch072. scopus Nº de citações: 4

  5. Peixoto, H and Abelha, A and Santos, M and Machado, J (2014). A preventive action management platform in healthcare information systems. In Open Source Technology: Concepts, Methodologies, Tools, and Applications. Vol. 1-4, pp. 447-460. IGI Global. DOI: 10.4018/978-1-4666-7230-7.ch026. scopus

Conference / Proceedings Papers

  1. Chaves, A and Ganança, R and Peller, T and Abelha, A and Machado, J and Peixoto, H (2026). AI-Driven Mobile Solution for Early Detection and Management of Diabetic Foot Ulcers. In Lecture Notes in Artificial Intelligence. Vol. 16121, pp. 3-14. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-032-05176-9_1. scopus isiwebofknowledge dblp

  2. Sousa, L and Silva, R and Peixoto, H and Melo Pinto, P and Costa, A and Melo, C and Delgado, P and Fukuda, V and Machado, J (2025). Enhancing Automotive Products with TinyML and MEMS Sensors: A Preliminary Approach. In Communications in Computer and Information Science. Vol. 2318 CCIS, pp. 194-208. Springer Science and Business Media Deutschland GmbH. DOI: 10.1007/978-981-97-9793-6_14. scopus

  3. Fernandes, M and Peixoto, H and Machado, J (2025). An Architectural Proposal for Injury Assessment in Occupational Medicine. In Lecture Notes in Networks and Systems. Vol. 1259, pp. 181-190. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-82073-1_18. scopus isiwebofknowledge dblp

  4. Mendes, I and Miranda, V and Salazar, M and Peixoto, H and Abelha, A (2025). Enhancing Amblyopia Screening with Machine Learning: Challenges and Solutions in Data Preparation. In ANT/EDI40. Vol. 257, pp. 1092-1097. Elsevier BV. DOI: 10.1016/j.procs.2025.03.143. scopus dblp Nº de citações: 1

  5. Sá, AL and Peixoto, H and Machado, J (2025). Integrating Data Science and AI in Disease Screening: A Scalable, Interoperable Software Architecture Proposal. In ANT/EDI40. Vol. 257, pp. 1128-1133. Elsevier BV. DOI: 10.1016/j.procs.2025.03.149. scopus dblp

  6. Baptista, H and Peixoto, H and Gomes, LM and Machado, J (2025). An Ontology-Based Web Platform for Medical Care on Transatlantic Cruises. In SoMeT. Vol. 411, pp. 483-496. IOS Press. DOI: 10.3233/faia250548. scopus dblp

  7. Almeida, M and Machado, J and Sousa, R and Peixoto, H (2025). AI-Powered Automation in Healthcare: A Multi-agent Approach with LLM. In Communications in Computer and Information Science. Vol. 2644, pp. 132-143. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-032-05925-3_11. scopus isiwebofknowledge

  8. Sousa, R and Passos, M and Almeida, M and Ribeiro, M and Peixoto, H (2024). Harnessing Data Mining to Predict Survival Outcomes in Patients with Hepatic Cirrhosis. In ANT/EDI40. Vol. 238, pp. 938-943. Elsevier BV. DOI: 10.1016/j.procs.2024.06.116. scopus dblp Nº de citações: 2

  9. Sousa, R and Esteves, C and Abelha, A and Peixoto, H (2024). Streamlining Healthcare Quality Management with an Web Audit Platform. In ANT/EDI40. Vol. 238, pp. 944-949. Elsevier BV. DOI: 10.1016/j.procs.2024.06.117. scopus dblp Nº de citações: 1

  10. Fernandes, J and Machado, J and Duarte, J and Peixoto, H (2024). Innovative mobile solutions for visual and mobility disabilities: a comprehensive overview. In EUSPN/ICTH. Vol. 251, pp. 684-689. Elsevier BV. DOI: 10.1016/j.procs.2024.11.169. scopus dblp Nº de citações: 1

  11. Oliveira, M and Abelha, A and Sousa, R and Peixoto, H (2024). Gamification in mobile applications: techniques, benefits and challenges. In EUSPN/ICTH. Vol. 251, pp. 678-683. Elsevier BV. DOI: 10.1016/j.procs.2024.11.168. scopus dblp Nº de citações: 4

  12. Pimenta, N and Sousa, R and Peixoto, H and Machado, J (2023). A Comprehensive Study on Personal and Medical Information to Predict Diabetes. In Lecture Notes in Networks and Systems. Vol. 583, pp. 197-207. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-20859-1_20. scopus isiwebofknowledge dblp Nº de citações: 1

  13. Sousa, R and Sousa, R and Peixoto, H and Machado, J (2023). Prediction Models Applied to Lung Cancer Using Data Mining. In Studies in Computational Intelligence. Vol. 1089, pp. 195-200. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-29104-3_22. scopus isiwebofknowledge dblp

  14. Vaz, L and Peixoto, H and Duarte, J and Alvarez, C and Machado, J (2023). Enhancing Clinical Management of Bariatric Surgery Using Business Intelligence. In ANT/EDI40. Vol. 220, pp. 850-855. Elsevier BV. DOI: 10.1016/j.procs.2023.03.114. scopus dblp Nº de citações: 1

  15. Pimenta, N and Chaves, A and Sousa, R and Abelha, A and Peixoto, H (2023). Interoperability of Clinical Data through FHIR: A review. In ANT/EDI40. Vol. 220, pp. 856-861. Elsevier BV. DOI: 10.1016/j.procs.2023.03.115. scopus dblp Nº de citações: 17

  16. Silva, I and Ferreira, D and Peixoto, H and Machado, J (2023). A Data Acquisition and Consolidation System based on openEHR applied to Physical Medicine and Rehabilitation. In ANT/EDI40. Vol. 220, pp. 844-849. Elsevier BV. DOI: 10.1016/j.procs.2023.03.113. scopus dblp Nº de citações: 4

  17. Coelho, E and Pimenta, N and Peixoto, H and Duraes, D and Melo Pinto, P and Alves, V and Bandeira, L and Machado, J and Novais, P (2023). Multi-agent System for Multimodal Machine Learning Object Detection. In HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2023. Vol. 14001, pp. 673-681. Springer Nature Switzerland. DOI: 10.1007/978-3-031-40725-3_57. scopus isiwebofknowledge dblp

  18. Miranda, R and Ribeiro, E and Durães, D and Peixoto, H and Machado, R and Abelha, A and Machado, J (2023). Smart Cities Using Crowdsensing and Geoferenced Notifications. In Lecture Notes in Networks and Systems. Vol. 732 LNNS, pp. 97-110. Springer Science and Business Media Deutschland GmbH. DOI: 10.1007/978-3-031-36957-5_9. scopus Nº de citações: 1

  19. Chaves, A and Sousa, R and Abelha, A and Peixoto, H (2023). Steps Towards Intelligent Diabetic Foot Ulcer Follow-Up Based on Deep Learning. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Vol. 485 LNICST, pp. 81-90. Springer Science and Business Media Deutschland GmbH. DOI: 10.1007/978-3-031-38204-8_7. scopus

  20. Sousa, R and Peixoto, H and Abelha, A and Machado, J (2023). Implementing a Software-as-a-Service Strategy in Healthcare Workflows. In DCAI (1). Vol. 740 LNNS, pp. 347-356. Springer Nature Switzerland. DOI: 10.1007/978-3-031-38333-5_35. scopus dblp

  21. Ramos, V and Marques, C and Peixoto, H and Machado, J (2023). Information Technology Monitoring in Healthcare: A Case Study. In Lecture Notes in Networks and Systems. Vol. 692 LNNS, pp. 351-361. Springer Science and Business Media Deutschland GmbH. DOI: 10.1007/978-3-031-33261-6_30. scopus

  22. Chaves, A and Montenegro, L and Peixoto, H and Abelha, A and Gomes, LM and Machado, J (2023). Intelligent Systems in Healthcare: An Architecture Proposal. In ISAmI. Vol. 770 LNNS, pp. 230-238. Springer Nature Switzerland. DOI: 10.1007/978-3-031-43461-7_23. scopus dblp Nº de citações: 2

  23. Dias, M and Sousa, R and Duarte, J and Peixoto, H and Abelha, A and Machado, J (2023). Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures. In Communications in Computer and Information Science. Vol. 1942 CCIS, pp. 288-299. Springer Science and Business Media Deutschland GmbH. DOI: 10.1007/978-981-99-7969-1_21. scopus Nº de citações: 5

  24. Lobo, A and Barbosa, A and Guimaraes, T and Lopes, J and Peixoto, H and Santos, MF (2023). Better Medical Efficiency by Means of Hospital Bed Management Optimization-A Comparison of Artificial Intelligence Techniques. In Lecture Notes in Artificial Intelligence. Vol. 14116, pp. 260-273. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-49011-8_21. scopus isiwebofknowledge dblp Nº de citações: 1

  25. Sousa, R and Peixoto, H and Guimarães, T and Abelha, A and Machado, J (2023). Towards a Standardized Real-Time Data Repository based on Laboratory Test Results. In EUSPN/ICTH. Vol. 231, pp. 452-457. Elsevier BV. DOI: 10.1016/j.procs.2023.12.233. scopus dblp Nº de citações: 1

  26. Duarte, A and Peixoto, H and Machado, J (2022). A Comparative Study of Data Mining Techniques Applied to Renal-Cell Carcinomas. In Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering. Vol. 432, pp. 53-62. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-030-99197-5_5. scopus isiwebofknowledge dblp Nº de citações: 1

  27. Marques, C and Ramos, V and Peixoto, H and Machado, J (2022). Predicting Diabetes Disease in the Female Adult Population, Using Data Mining. In Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering. Vol. 432, pp. 63-73. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-030-99197-5_6. scopus isiwebofknowledge dblp Nº de citações: 1

  28. Marques, C and Ramos, V and Peixoto, H and Machado, J (2022). Pervasive Monitoring System for Services and Servers in Healthcare Environment. In ANT/EDI40. Vol. 201, pp. 720-725. Elsevier BV. DOI: 10.1016/j.procs.2022.03.097. scopus dblp Nº de citações: 5

  29. Vaz, MJ and Lopes, J and Peixoto, H and Santos, MF (2022). Predictive Analytics to support diabetic patient detection. In ANT/EDI40. Vol. 201, pp. 690-695. Elsevier BV. DOI: 10.1016/j.procs.2022.03.092. scopus dblp Nº de citações: 1

  30. Pinto, M and Peixoto, H and Ulisses, A and Santos, P (2022). Online platform for viewing trends and opinions on sports events based on Social Media Data. In Iberian Conference on Information Systems and Technologies. Vol. 2022-June, IEEE. DOI: 10.23919/cisti54924.2022.9820365. scopus isiwebofknowledge

  31. Peixoto, D and Faria, M and Macedo, R and Peixoto, H and Lopes, J and Barbosa, A and Guimaraes, T and Santos, MF (2022). Determining Internal Medicine Length of Stay by Means of Predictive Analytics. In Lecture Notes in Artificial Intelligence. Vol. 13566, pp. 171-182. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-16474-3_15. scopus isiwebofknowledge dblp Nº de citações: 2

  32. Oliveira, C and Sousa, R and Peixoto, H and Machado, J (2022). Improving the Effectiveness of Heart Disease Diagnosis with Machine Learning. In PAAMS (Workshops). Vol. 1678 CCIS, pp. 222-231. Springer International Publishing. DOI: 10.1007/978-3-031-18697-4_18. scopus dblp Nº de citações: 1

  33. Sousa, R and Lopes, D and Silva, A and Duraes, D and Peixoto, H and Machado, J and Novais, P (2022). Sustainable and Social Energy on Smart Cities: Systematic Review. In Communications in Computer and Information Science. Vol. 1676, pp. 72-84. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-20316-9_6. scopus isiwebofknowledge dblp Nº de citações: 2

  34. Sousa, R and Oliveira, D and Carneiro, A and Pinto, L and Pereira, A and Peixoto, A and Peixoto, H and Machado, J (2022). The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture. In Lecture Notes in Computer Science. Vol. 13756, pp. 199-210. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-21753-1_20. scopus isiwebofknowledge dblp

  35. Tavares, I and Duarte, J and Peixoto, H and Silva, A and Manuel, M and Quintas, C (2022). Association Models for Relating Problems with Semiologic Data in Intensive Medicine. In EUSPN/ICTH. Vol. 210, pp. 224-229. Elsevier BV. DOI: 10.1016/j.procs.2022.10.141. scopus dblp Nº de citações: 1

  36. Peixoto, D and Barbosa, A and Peixoto, H and Lopes, J and Guimarães, T and Santos, MF (2022). Predictive analytics for hospital inpatient flow determination. In EUSPN/ICTH. Vol. 210, pp. 254-259. Elsevier BV. DOI: 10.1016/j.procs.2022.10.146. scopus dblp Nº de citações: 4

  37. Afonso, A and Alvarez, C and Ferreira, D and Oliveira, D and Peixoto, H and Abelha, A and Machado, J (2022). OpenEHR based bariatric surgery follow-up. In EUSPN/ICTH. Vol. 210, pp. 271-276. Elsevier BV. DOI: 10.1016/j.procs.2022.10.149. scopus dblp Nº de citações: 3

  38. Montenegro, L and Peixoto, H and Machado, JM (2022). Evaluation of Transfer Learning to Improve Arrhythmia Classification for a Small ECG Database. In Lecture Notes in Artificial Intelligence. Vol. 13788, pp. 231-242. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-031-22419-5_20. scopus isiwebofknowledge dblp Nº de citações: 4

  39. Cruz, R and Guimaraes, T and Peixoto, H and Santos, MF (2021). Architecture for Intensive Care Data Processing and Visualization in Real-time. In Procedia Computer Science. Vol. 184, pp. 923-928. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2021.03.115. scopus isiwebofknowledge dblp Nº de citações: 6

  40. Chaves, A and Guimaraes, T and Duarte, J and Peixoto, H and Abelha, A and Machado, J (2021). Development of FHIR based web applications for appointment management in healthcare. In Procedia Computer Science. Vol. 184, pp. 917-922. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2021.03.114. scopus isiwebofknowledge dblp Nº de citações: 4

  41. Neto, C and Brito, M and Peixoto, H and Lopes, V and Abelha, A and Machado, J (2020). Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks. In WorldCIST (1). Vol. 1159 AISC, pp. 212-221. Springer International Publishing. DOI: 10.1007/978-3-030-45688-7_22. scopus dblp Nº de citações: 9

  42. Guimaraes, T and Silva, H and Peixoto, H and Santos, M (2020). Modular Blockchain Implementation in Intensive Medicine. In Procedia Computer Science. Vol. 170, pp. 1059-1064. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2020.03.073. scopus isiwebofknowledge Nº de citações: 11

  43. Peixoto, H and Guimaraes, T and Santos, MF (2020). A New Architecture for Intelligent Clinical Decision Support for Intensive Medicine. In Procedia Computer Science. Vol. 170, pp. 1035-1040. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2020.03.077. scopus isiwebofknowledge dblp Nº de citações: 9

  44. Castanheira, A and Peixoto, H and Machado, J (2020). Overcoming Challenges in Healthcare Interoperability Regulatory Compliance. In ISAmI. Vol. 1239 AISC, pp. 44-53. Springer International Publishing. DOI: 10.1007/978-3-030-58356-9_5. scopus dblp Nº de citações: 4

  45. Costa, D and Pereira, C and Peixoto, H and Machado, J (2020). Anticipating Maintenance in Telecom Installation Processes. In IDEAL (2). Vol. 12490 LNCS, pp. 322-334. Springer International Publishing. DOI: 10.1007/978-3-030-62365-4_31. scopus dblp

  46. Cunha, G and Peixoto, H and Machado, J (2020). Improving Performance of Recommendation System Architecture. In IDEAL (2). Vol. 12490 LNCS, pp. 495-506. Springer International Publishing. DOI: 10.1007/978-3-030-62365-4_47. scopus dblp

  47. Peixoto, V and Peixoto, H and Machado, J (2020). Integrating a Data Mining Engine into Recommender Systems. In IDEAL (1). Vol. 12489 LNCS, pp. 209-220. Springer International Publishing. DOI: 10.1007/978-3-030-62362-3_19. scopus dblp Nº de citações: 2

  48. Guimarães, T and Moreira, A and Peixoto, H and Santos, M (2020). ICU Data Management - A Permissioned Blockchain Approach. In EUSPN/ICTH. Vol. 177, pp. 546-551. Elsevier BV. DOI: 10.1016/j.procs.2020.10.076. scopus dblp Nº de citações: 7

  49. Guimarães, T and Silva, H and Peixoto, H and Santos, M (2020). Modular Blockchain Implementation in Intensive Medicine. In ANT/EDI40. pp. 1059-1064. . dblp

  50. Peixoto, H and Silva, LCe and Pereira, S and Jesus, T and Lopes, V and Abelha, A and Machado, J (2019). Predicting Death and Morbidity in Perforated Peptic Ulcer. In ICITS. Vol. 918, pp. 558-568. Springer International Publishing. DOI: 10.1007/978-3-030-11890-7_54. scopus dblp

  51. Machado, J and Cardoso, AC and Gomes, I and Silva, I and Lopes, V and Peixoto, H and Abelha, A (2019). Predicting the Length of Hospital Stay After Surgery for Perforated Peptic Ulcer. In ICITS. Vol. 918, pp. 569-579. Springer International Publishing. DOI: 10.1007/978-3-030-11890-7_55. scopus dblp Nº de citações: 1

  52. Loreto, P and Peixoto, H and Abelha, A and Machado, J (2019). Predicting Low Birth Weight Babies Through Data Mining. In WorldCIST (3). Vol. 932, pp. 568-577. Springer International Publishing. DOI: 10.1007/978-3-030-16187-3_55. scopus dblp Nº de citações: 15

  53. Cruz, M and Esteves, M and Peixoto, H and Abelha, A and Machado, J (2019). Application of Data Mining for the Prediction of Prophylactic Measures in Patients at Risk of Deep Vein Thrombosis. In WorldCIST (3). Vol. 932, pp. 557-567. Springer International Publishing. DOI: 10.1007/978-3-030-16187-3_54. scopus dblp Nº de citações: 2

  54. Fonseca, F and Peixoto, H and Braga, J and Machado, J and Abelha, A (2019). Smart Mobile Computing in Pregnancy Care. In CATA. pp. 219-224. . scopus dblp Nº de citações: 5

  55. Peixoto, C and Peixoto, H and Machado, J and Abelha, A and Santos, MF (2018). Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining. In PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH (ICT4AWE). Vol. 2018-March, pp. 285-290. SCITEPRESS. DOI: 10.5220/0006820802850290. scopus isiwebofknowledge dblp Nº de citações: 1

  56. Prata, M and Peixoto, H and MacHado, J and Abelha, A (2018). Data mining in urgency department: Medical specialty discharge prediction. In 16th International Industrial Simulation Conference 2018, ISC 2018. pp. 28-35. EUROSIS. scopus Nº de citações: 2

  57. Ferreira, D and Peixoto, H and Machado, J and Abelha, A (2018). Predictive Data Mining in Nutrition Therapy. In 2018 13TH APCA INTERNATIONAL CONFERENCE ON CONTROL AND SOFT COMPUTING (CONTROLO). pp. 137-142. IEEE. DOI: 10.1109/controlo.2018.8516413. scopus isiwebofknowledge Nº de citações: 9

  58. Silva, C and Oliveira, D and Peixoto, H and Machado, J and Abelha, A (2018). Data mining for prediction of length of stay of cardiovascular accident inpatients. In Communications in Computer and Information Science. Vol. 858, pp. 516-527. Springer Verlag. DOI: 10.1007/978-3-030-02843-5_43. scopus Nº de citações: 5

  59. Loreto, P and Braga, J and Peixoto, H and Machado, J and Abelha, A (2018). Step Towards Progressive Web Development in Obstetrics. In Procedia Computer Science. Vol. 141, pp. 525-530. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2018.10.131. scopus isiwebofknowledge dblp Nº de citações: 2

  60. Peixoto, H and Francisco, A and Duarte, A and Esteves, M and Oliveira, S and Lopes, V and Abelha, A and Machado, J (2018). Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining. In INTETAIN. Vol. 273, pp. 37-46. Springer International Publishing. DOI: 10.1007/978-3-030-16447-8_4. scopus dblp Nº de citações: 2

  61. Rodrigues, M and Peixoto, H and Esteves, M and Machado, J and Abelha (2017). Understanding Stroke in Dialysis and Chronic Kidney Disease. In Procedia Computer Science. Vol. 113, pp. 591-596. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2017.08.296. scopus isiwebofknowledge dblp Nº de citações: 14

  62. Morais, A and Peixoto, H and Coimbra, C and Abelha, A and Machado, J (2017). Predicting the need of Neonatal Resuscitation using Data Mining. In Procedia Computer Science. Vol. 113, pp. 571-576. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2017.08.287. scopus isiwebofknowledge dblp Nº de citações: 20

  63. Fonseca, F and Peixoto, H and Miranda, F and Machado, J and Abelha, A (2017). Step Towards Prediction of Perineal Tear. In EUSPN/ICTH. Vol. 113, pp. 565-570. Elsevier BV. DOI: 10.1016/j.procs.2017.08.284. scopus dblp Nº de citações: 7

  64. Neto, C and Peixoto, H and Abelha, V and Abelha, A and Machado, J (2017). Knowledge Discovery from Surgical Waiting lists. In Procedia Computer Science. Vol. 121, pp. 1104-1111. ELSEVIER SCIENCE BV. DOI: 10.1016/j.procs.2017.11.141. scopus isiwebofknowledge Nº de citações: 9

  65. Loreto, P and Fonseca, F and Morais, A and Peixoto, H and Abelha, A and Machado, J (2017). Improving Maternity Care with Business Intelligence. In 2017 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW) 2017. Vol. 2017-January, pp. 170-177. IEEE COMPUTER SOC. DOI: 10.1109/ficloudw.2017.89. scopus isiwebofknowledge dblp Nº de citações: 10

  66. Peixoto, C and Brito, C and Fontainhas, M and Peixoto, H and Machado, J and Abelha, A (2017). Continuous Ambulatory Peritoneal Dialysis: Business Intelligence applied to patient monitoring CAPD study and statistics. In 2017 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW) 2017. Vol. 2017-January, pp. 178-185. IEEE COMPUTER SOC. DOI: 10.1109/ficloudw.2017.30. scopus isiwebofknowledge dblp

  67. Serapicos, M and Peixoto, H and Alves, V (2017). A Hospital Service Kiosk in the Patient’s Pocket. In Advances in Intelligent Systems and Computing. Vol. 615, pp. 218-228. SPRINGER INTERNATIONAL PUBLISHING AG. DOI: 10.1007/978-3-319-61118-1_27. scopus isiwebofknowledge dblp

  68. Silva, C and Pereira, J and Costa, L and Abelha, A and Peixoto, H and Machado, J (2017). Business Intelligence for Cardiovascular Disease Assessment. In 2017 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW) 2017. Vol. 2017-January, pp. 186-193. IEEE COMPUTER SOC. DOI: 10.1109/ficloudw.2017.90. scopus isiwebofknowledge dblp Nº de citações: 1

  69. Peixoto, H and Duarte, J and Abelha, A and Santos, M and Machado, J (2012). ScheduleIT - Open-Source Preventive Actions Management Plataform in Healthcare Information Systems. In Procedia Technology. Vol. 5, pp. 734-742. ELSEVIER SCIENCE BV. DOI: 10.1016/j.protcy.2012.09.081. isiwebofknowledge Nº de citações: 3

  70. Peixoto, H and Santos, M and Abelha, A and Machado, J (2012). Intelligence in Interoperability with AIDA. In ISMIS. Vol. 7661 LNAI, pp. 264-273. Springer Berlin Heidelberg. DOI: 10.1007/978-3-642-34624-8_31. scopus dblp Nº de citações: 47

  71. Peixoto, H and Machado, J and Abelha, A and Neves, J and Correia, A and Santos, MF (2011). AASYS - APPOINTMENT ALERT SYSTEM: AN OPEN-SOURCE-BASED SOFTWARE TO IMPROVE SHOW RATES IN A HEALTH CARE UNIT. In EUROPEAN SIMULATION AND MODELLING CONFERENCE 2011. pp. 399-403. EUROSIS. scopus isiwebofknowledge Nº de citações: 2

  72. Miranda, M and Pontes, G and Gonçalves, P and Peixoto, H and Santos, M and Abelha, A and Machado, J (2010). Modelling Intelligent Behaviours in Multi-agent Based HL7 Services. In Studies in Computational Intelligence. Vol. 317, pp. 95-+. SPRINGER-VERLAG BERLIN. DOI: 10.1007/978-3-642-15405-8_9. scopus isiwebofknowledge dblp Nº de citações: 12

  73. Peixoto, H and Machado, J and Neves, J and Abelha, A (2010). Semantic Interoperability and Health Records. In IFIP Advances in Information and Communication Technology. Vol. 335, pp. 236-237. SPRINGER-VERLAG BERLIN. DOI: 10.1007/978-3-642-15515-4_30. scopus isiwebofknowledge dblp Nº de citações: 14

  74. Peixoto, H and Machado, J and Abelha, A (2010). Interoperability and semantic clinical process. In SISTEMAS Y TECNOLOGIAS DE INFORMACION. pp. 564-569. AISTI-ASSOC IBERICA SISTEMAS & TECNOLOGIAS INFORMACAO. isiwebofknowledge

  75. Peixoto, H and Alves, V (2009). Computer-Aided Diagnosis in Brain Computed Tomography Screening. In ICDM. Vol. 5633 LNAI, pp. 62-72. Springer Berlin Heidelberg. DOI: 10.1007/978-3-642-03067-3_7. scopus dblp

Books & Edited Volumes

  1. José Manuel Machado and Hugo Peixoto (2023). AI-Assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. - Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings. __. Springer.

  2. Machado, J and Peixoto, H and Sousa, R (2022). Big Data Analytics and Artificial Intelligence in the Healthcare Industry. Advances in Medical Technologies and Clinical Practice. IGI Global. ISBN: 9781799891727. DOI: 10.4018/978-1-7998-9172-7.

Datasets & Other

  1. Peixoto, H and Braga, D and Silva, I and Rosário, R and Novais, P and Machado, J (2025). Online Social Listening - DataSet. . Zenodo.

  2. Braga, D and Silva, I and Peixoto, H and Rosário, R and Novais, P and Machado, J (2025). Tweet Analysis Project - OSL. . Zenodo.

  3. Silva, I and Braga, D and Peixoto, H and Rosário, R and Novais, P and Machado, J (2025). bee-school platform. . Zenodo.

  4. Machado, JM and Peixoto, H (2023). Preface. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Springer Science and Business Media Deutschland GmbH.

  5. Machado, JMF and Prieto, J and Vieira, P and Peixoto, H and Abelha, A and Arroyo, D and Vigneri, L (2023). Blockchain and Applications, 5th International Congress, BLOCKCHAIN 2023, Guimaraes, Portugal, 12-14 July 2023. Lecture Notes in Networks and Systems. Springer.

  6. Peixoto, H and Domingues, A and Fernandes, B (2013). Steps towards interoperability in healthcare environment. Applying Business Intelligence to Clinical and Healthcare Organizations. IGI Global.

Thesis