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2020 – today
- 2022
[j4]Cláudia Brito
, Marisa Esteves, Hugo Peixoto, António Abelha, José Machado:
A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis. Wirel. Networks 28(3): 1269-1277 (2022)- [c39]Maria João Vaz, João Lopes, Hugo Peixoto, Manuel Filipe Santos:
Predictive Analytics to support diabetic patient detection. ANT/EDI40 2022: 690-695 - [c38]Carolina Marques, Vasco Ramos, Hugo Peixoto, José Machado:
Pervasive Monitoring System for Services and Servers in Healthcare Environment. ANT/EDI40 2022: 720-725 - [c37]Regina Sousa, Diogo Lopes, António Silva, Dalila Durães, Hugo Peixoto, José Machado, Paulo Novais:
Sustainable and Social Energy on Smart Cities: Systematic Review. ARTIIS (2) 2022: 72-84 - [c36]Nuno Pimenta, Regina Sousa, Hugo Peixoto, José Machado:
A Comprehensive Study on Personal and Medical Information to Predict Diabetes. DCAI (1) 2022: 197-207 - [c35]Diogo Peixoto, Mariana Faria, Rui Macedo, Hugo Peixoto, João Lopes, Agostinho Barbosa, Tiago Guimarães, Manuel Filipe Santos:
Determining Internal Medicine Length of Stay by Means of Predictive Analytics. EPIA 2022: 171-182 - [c34]Larissa Montenegro, Hugo Peixoto, José Manuel F. Machado:
Evaluation of Transfer Learning to Improve Arrhythmia Classification for a Small ECG Database. IBERAMIA 2022: 231-242 - [c33]Regina Sousa, Daniela Oliveira, Ana Carneiro, Luis Pinto, Ana Pereira, Ana Peixoto, Hugo Peixoto, José Machado:
The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture. IDEAL 2022: 199-210 - [c32]Catarina Oliveira, Regina Sousa, Hugo Peixoto, José Machado:
Improving the Effectiveness of Heart Disease Diagnosis with Machine Learning. PAAMS (Workshops) 2022: 222-231 - 2021
- [c31]António Chaves, Tiago Guimarães, Júlio Duarte, Hugo Peixoto, António Abelha, José Machado:
Development of FHIR based web applications for appointment management in healthcare. ANT/EDI40 2021: 917-922 - [c30]Ricardo Cruz, Tiago Guimarães, Hugo Peixoto, Manuel Filipe Santos:
Architecture for Intensive Care Data Processing and Visualization in Real-time. ANT/EDI40 2021: 923-928 - [c29]Ana Duarte, Hugo Peixoto, José Machado:
A Comparative Study of Data Mining Techniques Applied to Renal-Cell Carcinomas. HealthyIoT 2021: 53-62 - [c28]Carolina Marques, Vasco Ramos, Hugo Peixoto, José Machado:
Predicting Diabetes Disease in the Female Adult Population, Using Data Mining. HealthyIoT 2021: 63-73 - 2020
- [c27]Hugo Peixoto, Tiago Guimarães, Manuel Filipe Santos:
A New Architecture for Intelligent Clinical Decision Support for Intensive Medicine. ANT/EDI40 2020: 1035-1040 - [c26]Tiago Guimarães, Hugo Silva, Hugo Peixoto, Manuel Santos:
Modular Blockchain Implementation in Intensive Medicine. ANT/EDI40 2020: 1059-1064 - [c25]Tiago Guimarães, Ailton Moreira, Hugo Peixoto, Manuel Santos:
ICU Data Management - A Permissioned Blockchain Approach. EUSPN/ICTH 2020: 546-551 - [c24]Vitor Peixoto, Hugo Peixoto, José Machado:
Integrating a Data Mining Engine into Recommender Systems. IDEAL (1) 2020: 209-220 - [c23]Diana Costa, Carlos Pereira, Hugo Peixoto, José Machado:
Anticipating Maintenance in Telecom Installation Processes. IDEAL (2) 2020: 322-334 - [c22]Gil Cunha, Hugo Peixoto, José Machado:
Improving Performance of Recommendation System Architecture. IDEAL (2) 2020: 495-506 - [c21]António Castanheira, Hugo Peixoto, José Machado:
Overcoming Challenges in Healthcare Interoperability Regulatory Compliance. ISAmI 2020: 44-53 - [c20]Cristiana Neto, Maria Brito, Hugo Peixoto, Vítor Lopes, António Abelha, José Machado:
Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks. WorldCIST (1) 2020: 212-221
2010 – 2019
- 2019
- [j3]Cristiana Neto, Maria Brito, Vítor Lopes, Hugo Peixoto, António Abelha, José Machado:
Application of Data Mining for the Prediction of Mortality and Occurrence of Complications for Gastric Cancer Patients. Entropy 21(12): 1163 (2019) - [c19]Francisca Fonseca, Hugo Peixoto, Jorge Braga, José Machado, António Abelha:
Smart Mobile Computing in Pregnancy Care. CATA 2019: 219-224 - [c18]Hugo Peixoto, Lara Correia e Silva, Soraia Pereira, Tiago Jesus, Vítor Lopes, António Abelha, José Machado:
Predicting Death and Morbidity in Perforated Peptic Ulcer. ICITS 2019: 558-568 - [c17]José Machado, Ana Catarina Cardoso, Inês Gomes, Inês Silva, Vítor Lopes, Hugo Peixoto, António Abelha:
Predicting the Length of Hospital Stay After Surgery for Perforated Peptic Ulcer. ICITS 2019: 569-579 - [c16]Manuela Cruz, Marisa Esteves, Hugo Peixoto, António Abelha, José Machado:
Application of Data Mining for the Prediction of Prophylactic Measures in Patients at Risk of Deep Vein Thrombosis. WorldCIST (3) 2019: 557-567 - [c15]Patrícia Loreto, Hugo Peixoto, António Abelha, José Machado:
Predicting Low Birth Weight Babies Through Data Mining. WorldCIST (3) 2019: 568-577 - 2018
- [c14]Patrícia Loreto, Jorge Braga, Hugo Peixoto, José Machado, António Abelha:
Step Towards Progressive Web Development in Obstetrics. EUSPN/ICTH 2018: 525-530 - [c13]Catarina Peixoto, Hugo Peixoto, José Machado, António Abelha, Manuel Filipe Santos:
Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining. ICT4AWE 2018: 285-290 - [c12]Hugo Peixoto, Alexandra Francisco, Ana Duarte, Márcia Esteves, Sara Oliveira, Vítor Lopes, António Abelha, José Machado:
Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining. INTETAIN 2018: 37-46 - 2017
- [j2]Joana Pereira, Hugo Peixoto, José Machado, António Abelha:
A Data Mining Approach for Cardiovascular Diagnosis. Open Comput. Sci. 7(1): 36-40 (2017) - [j1]Rita Reis, Hugo Peixoto, José Machado, António Abelha:
Machine Learning in Nutritional Follow-up Research. Open Comput. Sci. 7(1): 41-45 (2017) - [c11]Francisca Fonseca, Hugo Peixoto, Filipe Miranda, José Machado, António Abelha:
Step Towards Prediction of Perineal Tear. EUSPN/ICTH 2017: 565-570 - [c10]Ana Morais, Hugo Peixoto, Cecília Coimbra, António Abelha, José Machado:
Predicting the need of Neonatal Resuscitation using Data Mining. EUSPN/ICTH 2017: 571-576 - [c9]Mariana Rodrigues, Hugo Peixoto, Marisa Esteves, José Machado, Vasco Abelha:
Understanding Stroke in Dialysis and Chronic Kidney Disease. EUSPN/ICTH 2017: 591-596 - [c8]Patrícia Loreto, Francisca Fonseca, Ana Morais, Hugo Peixoto, António Abelha, José Machado:
Improving Maternity Care with Business Intelligence. FiCloud Workshops 2017: 170-177 - [c7]Catarina Peixoto, Claudia Brito, Mariana Fontainhas, Hugo Peixoto, José Machado, António Abelha:
Continuous Ambulatory Peritoneal Dialysis: Business Intelligence Applied to Patient Monitoring: CAPD Study and Statistics. FiCloud Workshops 2017: 178-185 - [c6]Cristiana Silva, Joana Pereira, Luis Costa, Hugo Peixoto, José Machado, António Abelha:
Business Intelligence for Cardiovascular Disease Assessment. FiCloud Workshops 2017: 186-193 - [c5]Marta Serapicos, Hugo Peixoto, Victor Alves:
A Hospital Service Kiosk in the Patient's Pocket. ISAmI 2017: 218-228 - 2014
- [c4]Delfim Pedrosa, Hugo Peixoto, Henrique Gonçalves, Júlio S. Martins, Carlos Couto, João Luiz Afonso:
FPGA Field Oriented Control of an Axial Flux motor-in-wheel. IECON 2014: 594-600 - 2013
- [b1]Hugo Peixoto:
Steps towards interoperability in healthcare environment. University of Minho, Portugal, 2013 - 2012
- [c3]Hugo Peixoto, Manuel Santos, António Abelha, José Machado:
Intelligence in Interoperability with AIDA. ISMIS 2012: 264-273 - 2010
- [c2]Hugo Peixoto, José Machado, José Neves, António Abelha:
Semantic Interoperability and Health Records. E-HEALTH 2010: 236-237 - [p1]Miguel Miranda, Gabriel Pontes, Pedro Gonçalves, Hugo Peixoto, Manuel Santos, António Abelha, José Machado:
Modelling Intelligent Behaviours in Multi-agent Based HL7 Services. Computer and Information Science 2010: 95-106
2000 – 2009
- 2009
- [c1]Hugo Peixoto, Victor Alves:
Computer-Aided Diagnosis in Brain Computed Tomography Screening. ICDM 2009: 62-72
Coauthor Index
aka: José Manuel F. Machado
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last updated on 2023-05-14 00:07 CEST by the dblp team
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