Predicting Child Language Outcomes Across Diverse Longitudinal Cohorts: A Machine Learning Approach

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University of Eastern Finland DRDHum 2024 Conference Submission42 Authors

Published: 03 Jun 2024, Last Modified: 16 Aug 2024DRDHum 2024 BestPaperEveryoneRevisionsBibTeXCC BY 4.0
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TL;DR: This study uses machine learning to predict language outcomes across two diverse cohorts (HelSLI and ELVS), identifying key factors influencing typical and impaired development.
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Submission Number: 42

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