
Igor Duarte
@igorduartepsi
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Psychologist, PhD Student at @usponline interested in ADHD and predictive models in psychiatry.
Sao Paulo, Brazil
Joined December 2021
Thrilled to share my Master's research published in ECAP! Our study found stronger effect sizes using risk-based design for ADHD biomarkers, highlighting the value of multivariable risk profiles over traditional case/control analyses.#ADHD #research.
link.springer.com
European Child & Adolescent Psychiatry - Translation of biomarkers to clinical practice is hindered by the significant overlap in neurobiological measures between ADHD cases and controls. A...
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RT @AmirahWahdi: Congratulations to my DJCFP colleagues for publishing this piece🔥🔥🔥.@TanyaManchanda_ @MehrAdeelRiaz @aya_aboelghar @ClaraG….
iacapap.org
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Some important points:. Limited efforts in predicting outcomes or treatment responses;.Need for high-quality, replicable, and externally validated models;.Emphasis on implementation research to bring models into clinical practice.
nature.com
Molecular Psychiatry - Individualized prediction models in ADHD: a systematic review and meta-regression
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Participating in @iacapapcongress, as a Donald J. Cohen Fellow was a huge privilege! Interacting with people from different cultures, learning and sharing knowledge was incredible! #IACAPAPcongress #DonaldCohenFellowship
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RT @StephenFaraone: Is there an association between parental obesity and offspring ADHD? This meta-analysis uncovers the link: https://t.co….
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To SMOTE, or not to SMOTE that is the question. Nice article here.
arxiv.org
Balancing the data before training a classifier is a popular technique to address the challenges of imbalanced binary classification in tabular data. Balancing is commonly achieved by duplication...
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