ArticleJournal of clinical medicine2022
Diagnosing Hemophagocytic Lymphohistiocytosis with Machine Learning: A Proof of Concept.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Machine learning for predicting macrophage activation syndrome in adult patients with Still's disease.Journal of translational autoimmunity · 2026Article
- Multicenter validation of secondary hemophagocytic lymphohistiocytosis diagnostic criteria.Journal of internal medicine · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
Hemophagocytic lymphohistiocytosis is a hyperinflammatory syndrome characterized by uncontrolled activation of immune cells and mediators. Two diagnostic tools are widely used in clinical practice: the HLH-2004 criteria and the Hscore. Despite their good diagnostic performance, these scores were constructed after a selection of variables based on expert consensus. We propose here a machine learning approach to build a classification model for HLH in a cohort of patients selected by glycosylated ferritin dosage in our tertiary center in Lyon, France. On a dataset of 207 adult patients with 26 variables, our model showed good overall diagnostic performances with a sensitivity of 71.4% and high specificity, and positive and negative predictive values which were 100%, 100%, and 96.9%, respectively. Although generalization is difficult on a selected population, this is the first study to date to provide a machine-learning model for HLH detection. Further studies will be required to improve the machine learning model performances with a large number of HLH cases and with appropriate controls.
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