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Article

Analysis of Digital Phenotype for Classification of Self-Reported Anxiety.

Anais da Academia Brasileira de Ciencias - 1 Jan 2026

Meneses Danilo A DE, Bonato Luiggi A B, Meneses Douglas A DE, Tavares Joel Jonathan C, Lopez Luiz Carlos S

Abstract excerpt

Digital phenotypes are behavioral patterns inferred from digital data, which have significantly contributed to eHealth research. Machine learning has proven effective in tracking these patterns; however, psychophysiological variables are still underutilized in identifying digital phenotypes. The objective of this study was to test the machine learning algorithms XGBoost, AdaBoost, RFC, and GaussianNB in...

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PMID: 42484163
DOI: 10.1590/0001-3765202620250023

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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