HTE 3.0: Knowledge‐based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment
| Autor: | Ferran Torrent-Fontbona, Beatriz López, Alberto Zamora, Luis Masana Marín |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
Lípids -- Metabolisme -- Trastorns Familial hypercholesterolemia Decision support systems medicine.disease Bioinformatics Diagnòstic -- Presa de decisions Clinical decision support system Theoretical Computer Science Knowledge-based systems Sistemes d'ajuda a la decisió Computational Theory and Mathematics Artificial Intelligence Control and Systems Engineering medicine Lipids -- Metabolism -- Disorders Diagnosis -- Decision making Hipercolesterolèmia Hypercholesteremia Intel·ligència artificial -- Aplicacions a la medicina Dyslipidemia Artificial intelligence -- Medical applications |
| Zdroj: | Expert Systems, 2022, vol. 39, núm. 1, p. e12835 Articles publicats (D-EEEiA) DUGiDocs – Universitat de Girona instname |
| ISSN: | 1468-0394 0266-4720 |
| DOI: | 10.1111/exsy.12835 |
| Popis: | HTE 3.0 aims to support clinicians in the detection of patients with dyslipidemia, especially patients with familial hypercholesterolemia (FH), and in the recommendation of personalized lipid-lowering treatments. The core of HTE 3.0 is a clinical decision support system in which several knowledge-based systems are serialized: patient detection, therapeutic target setting, personalized treatment assessment, and treatment combination and prioritization, according to different criteria. The experimental evaluation of HTE 3.0 shows that the use of HTE 3.0 would mean increasing the capacity to detect FH by 5.7 times compared with usual clinical practice. Regarding the lipid-lowering treatment, a comparison of 18 cases among seven lipidologists shows that the differences between treatments provided by HTE 3.0 and human lipidologists are smaller than the differences between human experts This work has been developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya(2017 SGR 1551) Open Access funding provided thanks to the CRUE-CSIC agreement with Wiley |
| Databáze: | OpenAIRE |
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