Boosting any learning algorithm with Statistically Enhanced Learning.

Feature engineering is of critical importance in the field of Data Science. While any data scientist knows the importance of rigorously preparing data to obtain good performing models, only scarce literature formalizes its benefits. In this work, we present the method of Statistically Enhanced Learning (SEL), a formalization framework of existing feature engineering and extraction tasks in Machine Learning (ML).

Pathogenic Aspergillus spp. and Candida spp. in coastal waters from southern Brazil: an one health approach.

Aspergillus and Candida are ubiquitous fungi included in the group of high priority in the World Health Organization list of fungal pathogens. They are found in various ecosystems and the environmental role in increasing the resistance to antifungals has been shown. Thus, we aimed to determine the occurrence of Aspergillus spp.

Assessing the Theoretical Efficacy of Combination Therapy Against Gram-Negative Infections in Neutropenic Pediatric Cancer Patients: Insights from the Statistical Analysis of Survey Data.

: Empirical antibacterial therapy for febrile neutropenia reduces mortality due to Gram-negative blood stream infections (BSIs). Pediatric guidelines recommend monotherapy with an antipseudomonal beta-lactam or a carbapenem and to add a second anti-Gram-negative agent in selected situations. We evaluated the changes in the proportions of resistance of beta-lactam monotherapies vs.

Breaking barriers: The impact of telemedicine on improving soft tissue and bone tumor management in Armenia.

Purpose: Musculoskeletal sarcomas are a rare group of malignant neoplasms, accounting for approximately 12 % of all malignant neoplasms among children. Childhood cancer outcomes vary between developed and developing countries due to financial and educational inequalities. Telemedicine programs have a huge impact on the quality of cancer care, helping to optimize resources for better cancer care in a resource-limited setting.