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Eduardo Maekawa

Biographic Data

ID7979501
NAMEEduardo Maekawa
GIVEN NAMESEduardo
FAMILY NAMEMaekawa
SIGNATUREMAEKAWA E
AFFILIATIONSUniversity of Limerick
ORCID0009-0006-6657-9678
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions

    Open Access•Eduardo Maekawa, Esben Kjems Jensen et al.•ARTICLE•Frontiers in Psychiatry•2024

    In 90.1% of cases, the hybrid model ranked the actual disorder treated as either the highest (67.3%) or second-highest (22.8%) on the test data. This emphasizes that instead of suggesting a single disorder to be treated, the model can offer the probabilities for multiple disorders. This allows individuals seeking treatment or their therapists to incorporate this information as an additional data-driven factor when collectively deciding on which t…

No prominent works on this page.

  • Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions

    Open Access•Eduardo Maekawa, Esben Kjems Jensen et al.•ARTICLE•Frontiers in Psychiatry•2024

    In 90.1% of cases, the hybrid model ranked the actual disorder treated as either the highest (67.3%) or second-highest (22.8%) on the test data. This emphasizes that instead of suggesting a single disorder to be treated, the model can offer the probabilities for multiple disorders. This allows individuals seeking treatment or their therapists to incorporate this information as an additional data-driven factor when collectively deciding on which t…

Advanced Causal Inference Techniques (1 work) · Computer Science (1 work) · Data science (1 work) · Machine Learning in Healthcare (1 work) · Medicine (1 work) · Psychology (1 work) · Statistical Methods in Clinical Trials (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae