Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records
Chengxi Zang; Yu Hou; Daoming Lyu; Jun Jin; Shane J. Sacco; Kun Chen; Robert H. Aseltine; Fei Wang · 2024 · Translational Psychiatry
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Machine Learning models trained from real-world data have demonstrated promise in predicting suicide attempts in adolescents. However, their transportability, namely the performance of a model trained on one dataset and applied to…
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Metadata source: OpenAlex · DOI 10.1038/s41398-024-03034-3