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Marta Priscila Fernandes
Marta Priscila Fernandes
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Clinical decision support systems for triage in the emergency department using intelligent systems: a review
M Fernandes, SM Vieira, F Leite, C Palos, S Finkelstein, JMC Sousa
Artificial Intelligence in Medicine 102, 101762, 2020
1832020
Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ...
PloS one 15 (3), e0229331, 2020
592020
Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing
M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ...
PLoS One 15 (4), e0230876, 2020
322020
Machine learning models with preoperative risk factors and intraoperative hypotension parameters predict mortality after cardiac surgery
MPB Fernandes, MA de la Hoz, V Rangasamy, B Subramaniam
Journal of Cardiothoracic and Vascular Anesthesia 35 (3), 857-865, 2021
242021
Analysis of residential natural gas consumers using fuzzy c-means clustering
MP Fernandes, JL Viegas, SM Vieira, JM Sousa
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1484-1491, 2016
182016
Segmentation of residential gas consumers using clustering analysis
MP Fernandes, JL Viegas, SM Vieira, JMC Sousa
Energies 10 (12), 2047, 2017
172017
Multimodeling for the prediction of patient readmissions in intensive care units
MPB Fernandes, CF Silva, SM Vieira, JMC Sousa
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1837-1842, 2014
172014
Classification of the disposition of patients hospitalized with COVID-19: reading discharge summaries using natural language processing
M Fernandes, H Sun, A Jain, HS Alabsi, LN Brenner, E Ye, W Ge, ...
JMIR Medical Informatics 9 (2), e25457, 2021
152021
Clinical decision support tool for Co-management signalling
AB Horta, C Salgado, M Fernandes, S Vieira, JM Sousa, AL Papoila, ...
International Journal of Medical Informatics 113, 56-62, 2018
112018
Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation
J Jing, W Ge, S Hong, MB Fernandes, Z Lin, C Yang, S An, AF Struck, ...
Neurology 100 (17), e1750-e1762, 2023
102023
Interrater reliability of expert electroencephalographers identifying seizures and rhythmic and periodic patterns in EEGs
J Jing, W Ge, AF Struck, MB Fernandes, S Hong, S An, S Fatima, ...
Neurology 100 (17), e1737-e1749, 2023
92023
Multistage modeling for the classification of numerical and categorical datasets
CM Salgado, MP Fernandes, A Horta, M Xavier, JMC Sousa, SM Vieira
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
92017
Classification of neurologic outcomes from medical notes using natural language processing
MB Fernandes, N Valizadeh, HS Alabsi, SA Quadri, RA Tesh, AA Bucklin, ...
Expert systems with applications 214, 119171, 2023
72023
Identifying patients with delirium based on unstructured clinical notes: observational study
W Ge, H Alabsi, A Jain, E Ye, H Sun, M Fernandes, C Magdamo, RA Tesh, ...
JMIR Formative Research 6 (6), e33834, 2022
52022
Seasonal clustering of residential natural gas consumers
MP Fernandes, JL Viegas, SM Vieira, JMC Sousa
Information Processing and Management of Uncertainty in Knowledge-Based …, 2016
42016
Identification of patients with epilepsy using automated electronic health records phenotyping
M Fernandes, A Cardall, J Jing, W Ge, LMVR Moura, C Jacobs, ...
Epilepsia 64 (6), 1472-1481, 2023
32023
Short-term prediction in an oscillating water column using artificial neural networks
MP Fernandes, SM Vieira, JCC Henriques, D Valério, LMC Gato
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
32018
A replicable, open-source, data integration method to support national practice-based research & quality improvement systems
M Fernandes, MA Donahue, D Hoch, S Cash, S Zafar, C Jacobs, ...
Epilepsy research 186, 107013, 2022
22022
Assessing risk of health outcomes from brain activity in sleep: a retrospective cohort study
H Sun, N Adra, MA Ayub, W Ganglberger, E Ye, M Fernandes, L Paixao, ...
Neurology: Clinical Practice 14 (1), e200225, 2024
12024
Brain health scores to predict neurological outcomes from electronic health records
M Fernandes, H Sun, Z Chemali, SS Mukerji, LMVR Moura, SF Zafar, ...
International Journal of Medical Informatics 180, 105270, 2023
2023
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