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Integrating etiological insights with machine learning for precision diagnosis of obstructive jaundice: Findings from a high-volume center

2024-07-15

Abstract excerpt

<h4>Introduction</h4> Large-scale cohort studies exploring the etiology of obstructive jaundice (OJ) are scarce, with current serum-based diagnostic markers offering suboptimal performance. This study leverages the largest retrospective cohort of OJ patients to date to investigate its disease spectrum and to develop a novel diagnostic system. <h4>Methods</h4> This study involves two retrospective observational coh...

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Literature Corpus work
9ce1c8de-c761-5d9a-87da-20f8968b9ac3
DOI
10.1101/2024.07.15.24310411
Open publication

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Integrating etiological insights with machine learning for precision diagnosis of obstructive jaundice: Findings from a high-volume centerDOI 10.1101/2024.07.15.24310411
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