Publications by authors named "Marcos Luiggi Lemos Sartori"
Background: The benefits of treatment for many conditions are time dependent. The burden of these emergency care sensitive conditions (ECSCs) is especially high in low- and middle-income countries. Our objective was to analyze geospatial trends in ECSCs and characterize regional disparities in access to emergency care in Brazil.
View Article and Find Full Text PDFData-driven risk stratification for preterm birth in Brazil: a population-based study to develop of a machine learning risk assessment approach.
Lancet Reg Health Am
November 2021
Article Synopsis
- Preterm birth (PTB) is a significant global health issue, and the study aims to create an algorithm to accurately predict delivery weeks to help identify PTB cases in Brazil.
- The research utilized data from over 3.8 million mothers and tested six machine learning algorithms, with eXtreme Gradient Boosting performing the best, achieving a root-mean-square error of approximately 2.09 days.
- Key factors influencing the prediction included the mother's age, number of previous Cesarean deliveries, prenatal consultations, availability of ultrasound exams, and the registration of oral care consultations by primary care teams.
Smart Check - COVID-19 triage system: Evaluation of the impact on the screening time and identification of clinical manifestations of SARS-CoV-2 infection in a public health service.
Int J Clin Pract
October 2021
Introduction: Most patients with COVID-19 have mild or moderate manifestations; however, there is a wide spectrum of clinical presentations and even more severe repercussions that require high diagnostic suspicion. Vital sign acquisition and monitoring are crucial for detecting and responding to patients with COVID-19.
Objective: Thus, we conducted this study to demonstrate the impact of using a tool called Smart Check on the triage time of patients with suspected COVID-19 and to identify the main initial clinical manifestations in these patients.