Percorrer por autor "Martins, Danilo M.D."
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- Dynamic extraction of holiday data for use in a predictive model for workplace accidentsPublication . Martins, Danilo M.D.; Silva, Felipe G.; Sena, Inês; Lima, Laíres A.; Fernandes, Florbela P.; Pacheco, Maria F.; Vaz, Clara B.; Lima, José; Pereira, Ana I.Workplace accidents are a concern for companies nowadays and can occur due to internal and external factors of the company. Thereby, several strategies are developed to predict and minimize the hazards in this environment. Companies resort to intelligent solutions, such as predictive analytics, aiming to increase productivity while ensuring safety in the work environment. In terms of accident prediction analysis, different input data are needed to ensure the accuracy of a predictive model. Therefore, this study aims to automatic collect and pre-process data from holidays for subsequent implementation in an accident-oriented predictive model to demonstrate its relevance in predicting accidents in the workplace.
- Using m-health apps in oncology : A review from 2015 to 2022Publication . Lima, Laíres; Martins, Danilo M.D.; Vaz, Clara B.; Pereira, Ana I.The increased use of smartphones and the COVID-19 pandemic directly influenced the development of remote tools in several areas. In the context of oncology, it was no different, as several studies address health care or services related to mobile devices. Apps aimed at the medical field (m-health) focus directly on monitoring symptoms and improving interaction between health professionals and patients, combined with the convenience of smartphones. In this context, this work aims to address recent studies on the use of m-health in the clinical practice of oncological diseases and report the characteristics of the apps involved. For this, a review of m-health focused on oncology was conducted using the PubMed and Science Direct databases. The investigation was carried out using tools inherent in international databases and was limited to articles published between 2015 and 2022. In total, 34 articles were analyzed, with a higher frequency of publications between 2019 and 2022. The resources observed were patient follow-up, prevention of signs and symptoms, monitoring of treatment and aid in prognosis and diagnosis of patients. It is concluded that a close collaboration among patients, health professionals, and information technology professionals is necessary to optimize symptom recognition and improve patientprofessional communication. Although the pandemic has intensified the increase in the use of m-health, its use is expected to increase in the post-pandemic scenario, bearing in mind the changes in social dynamics and the growing dissemination of technologies.
- Utilização de aplicativos m-health na oncologia: uma revisão sistemáticaPublication . Martins, Danilo M.D.; Lima, Laíres; Vaz, Clara B.; Pereira, Ana I.O presente trabalho consiste em uma revisão sistemática de literatura acerca de estudos recentes sobre aplicativos móveis relacionados com saúde (m-health) na prática clínica de doenças oncológicas para catalogação das principais características dos aplicativos desenvolvidos.