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Sex Stratification Combined with SHAP-Driven Secondary Subgroup Mining: Construction of an Interpretable Machine Learning Model for Steady-State Concentration of Lacosamide in Pediatric Epilepsy and Validation

2026-06-29

Abstract excerpt

<b>Objective</b> This study aimed to construct machine learning prediction models for the steady-state plasma concentration of lacosamide in children based on gender stratification. <b>Methods </b>A total of 3,235 children with epilepsy treated with lacosamide at Kunming Children's Hospital from May 2022 to May 2024 were retrospectively included as the modeling cohort. Following gender stratification, the cohort w...

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Literature Corpus work
55dfa60c-3bad-5dcc-8f41-56a0549a6f6b
DOI
10.22541/authorea.15005407/v1
Open publication

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Sex Stratification Combined with SHAP-Driven Secondary Subgroup Mining: Construction of an Interpretable Machine Learning Model for Steady-State Concentration of Lacosamide in Pediatric Epilepsy and ValidationDOI 10.22541/authorea.15005407/v1
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