Author

D. Adamatti

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Open access Sep 2026

Machine Learning for Respiratory Health and Pediatric Asthma: A Dual Framework Combining Environmental Prediction of Respiratory Hospitalizations with Digital Biomarkers of Adherence to Diaphragmatic Breathing

Background: Asthma is a chronic respiratory disease shaped by environmental, meteorological, and behavioral factors. Few approaches combine population-level surveillance with individual-level monitoring within a single analytical framework. Methods: This work developed a dual machine learning framework. Study 1 modeled...

Daniel Pereira Ferreira, Gabriel Fuscald Scursone, D. Adamatti · BioMed · 0 citations

Open access Aug 2026

CLINICAL DIGITAL TWINS IN PEDIATRIC ASTHMA: GENERATION AND DISTRIBUTIONAL VALIDATION OF A LONGITUDINAL SYNTHETIC DATABASE UNDER SAMPLE CONSTRAINTS

Considering that pediatric clinical trials often yield small samples, incompatible with the data volume required by deep learning, and that asthma is the most prevalent chronic disease in childhood, the aim is to present and validate a reproducible methodology for generating a longitudinal synthetic database from a sma...

Daniel Pereira Ferreira, D. Adamatti, Gabriel Fuscald Scursone et al. · Revista Políticas Públicas &... · 0 citations