2026-10-13T20:22:57Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33988713 2026-09-24T17:40:20Z category_4 category_7 category_12 category_13 category_21 category_873 category_734 category_811 category_64 category_132 category_134 portal_5 item_type_3 month_year_09_2026

<p>Baseline characteristics of the cohort used in ML-based model development and validation.</p> Chamila Mettananda (5590547) Kaveesha Sivasumithran (25105017) Lakmali Ranaweera (23149227) Anjalika Madhubhashini (25105020) Chamila Ranawaka (23149215) Arunasalam Pathmeswaran (221600) Anuradha Dassanayake (19915074) Biochemistry Medicine Cell Biology Genetics Biotechnology Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Cancer Infectious Diseases Virology remaining 20 %. controlled transient elastography tertiary referral centre platelet count separately line screening tool variable model demonstrated best predictive performance xlink "> ml platelet count screening tool variable combinations best models xlink "> screening algorithm initial screening widely available variables used variables showed substantially improving sri lanka significant fibrosis selected based november 2024 model performance metabolic dysfunction feature importance family history externally validated external validation european association diabetes mellitus diabetes complication descending order based models 35 years <p>Baseline characteristics of the cohort used in ML-based model development and validation.</p> 2026-09-24T17:40:14Z Dataset Dataset 10.1371/journal.pone.0352231.t001 https://figshare.com/articles/dataset/_p_Baseline_characteristics_of_the_cohort_used_in_ML-based_model_development_and_validation_p_/33988713 CC BY 4.0