A comprehensive BPMN approach for data-driven optimization of Italian civil proceedings
Fractional fourier image transformer for multimodal remote sensing data classification
With the recent development of the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data, deep learning methods have achieved promising performance owing to their locally sematic feature extracting ability. Nonetheless, the limited receptive field restricted the convolutional neural networks (CNNs) to repres...
Uma ferramenta para coleta e análise de rastreamento de olhar para auxílio a diagnóstico de transtorno do espectro autis...
TCC (graduação) - Universidade Federal de Santa Catarina, Centro Tecnológico, Ciências da Computação. / O transtorno do espectro autista (TEA) é um distúrbio que acarreta diversas adversidades na vida de quem o porta, as mais frequentes são o déficit no convívio social, as dificuldades no aprendizado, a diminuição da capacidade de processamento cer...
Characterization of COVID-19 vaccine clinical trial discussions on the social question-and-answer site Quora.
Published in Trials
Throughout the COVID-19 pandemic, underserved populations, such as racial and ethnic minorities, were disproportionately impacted by illness, hospitalization, and death. Equity in clinical trials means that the participants in clinical trials represent the people who are most likely to have the health condition and need the treatment that the trial...
Feature Selection for the Low Industrial Yield of Cane Sugar Production Based on Rule Learning Algorithms
Published in Journal of Automation, Mobile Robotics and Intelligent Systems
This article presents a model based on machine learning for the selection of the characteristics that most influence the low industrial yield of cane sugar production in Cuba. The set of data used in this work corresponds to a period of ten years of sugar harvests from 2010 to 2019. A process of understanding the business and of understanding and p...
Interpretable cost-sensitive regression through one-step boosting
status: published
Exploring the Rules of Related Parameters in Transcutaneous Electrical Nerve Stimulation for Cancer Pain Based on Data M...
Published in Pain and therapy
This study aims to investigate the regularity of related parameters in the treatment of cancer pain using transcutaneous electrical nerve stimulation (TENS). A comprehensive literature search was conducted in databases such as PubMed, Cochrane Library, Embase, Web of Science, OVID, CNKI, CBM, VIP, and WANNGFANG from inception up to December 2022. A...
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estim...
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Published in Journal of biomedical informatics
Computing phenotypes that provide high-fidelity, time-dependent characterizations and yield personalized interpretations is challenging, especially given the complexity of physiological and healthcare systems and clinical data quality. This paper develops a methodological pipeline to estimate unmeasured physiological parameters and produce high-fid...
Feature Selection for the Low Industrial Yield of Cane Sugar Production Based on Rule Learning Algorithms
Published in Journal of Automation, Mobile Robotics and Intelligent Systems
This article presents a model based on machine learning for the selection of the characteristics that most influence the low industrial yield of cane sugar production in Cuba. The set of data used in this work corresponds to a period of ten years of sugar harvests from 2010 to 2019. A process of understanding the business and of understanding and p...
A real-world pharmacovigilance study of abaloparatide based on the FDA Adverse Event Reporting System (FAERS).
Abaloparatide (ABL) is a US Food and Drug Administration-approved parathyroid hormone-related peptide analog for treatment of osteoporosis in postmenopausal women at high risk of fracture. However, real-world data regarding its long-term safety and tolerability in large sample population are incomplete. We evaluated abaloparatide-associated safety ...
