Publicación: Optimizing treatment to control LDL cholesterol using machine learning
| dc.contributor.author | Boneu Yepez, Deiby | |
| dc.contributor.author | Sierra Porta, David | |
| dc.contributor.author | Morales Aguas Liz | |
| dc.contributor.author | Manzur Jattin, Fernando | |
| dc.contributor.researchgroup | Grupo de Investigación Física Aplicada y Procesamiento de Imágenes y Señales- FAPIS | |
| dc.date.accessioned | 2025-07-08T12:58:38Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Increased LDL cholesterol is one of the main risk factors for cardiovascular diseases; therefore, adequate therapy reduces the risk of developing cardiovascular disease. Artificial intelligence (AI) is a tool that can significantly help doctors select the optimal treatment aimed at each patient individually. Based on the above, the question arises: Which artificial intelligence model allows us to recommend the best treatment to control LDL levels according to the patient's cardiovascular risk factor? | |
| dc.format.extent | 14 páginas | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Yepez, D. B., Porta, D. S., Aguas, L. M., & Jattin, F. M. (2025). Optimizing treatment to control LDL cholesterol using machine learning. Computers In Biology And Medicine, 195, 110599. https://doi.org/10.1016/j.compbiomed.2025.110599 | |
| dc.identifier.doi | https://doi.org/10.1016/j.compbiomed.2025.110599 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12585/14096 | |
| dc.language.iso | eng | |
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| dc.subject.lemb | Artificial intelligence -- Medical applications | |
| dc.subject.lemb | Clinical decision support systems | |
| dc.subject.lemb | Machine learning | |
| dc.subject.lemb | Personalized medicine | |
| dc.subject.lemb | Renal cell carcinoma | |
| dc.subject.lemb | Clinical trials | |
| dc.subject.lemb | Treatment adherence | |
| dc.subject.lemb | Health care -- Technological innovations | |
| dc.subject.lemb | Cardiovascular diseases | |
| dc.subject.lemb | Hypercholesterolemia -- Treatment | |
| dc.subject.lemb | Low-density lipoproteins -- Therapeutic use | |
| dc.subject.lemb | Dyslipidemias -- Risk factors | |
| dc.subject.lemb | Atherosclerosis -- Prevention and control | |
| dc.subject.lemb | Ischemic heart disease | |
| dc.subject.lemb | Therapeutic inertia | |
| dc.subject.lemb | Drug therapy -- Evaluation | |
| dc.subject.lemb | Evidence-based medicine | |
| dc.subject.proposal | Machine learning | |
| dc.subject.proposal | LDL cholesterol | |
| dc.subject.proposal | Hypolipidemic agents | |
| dc.subject.proposal | Risk factors | |
| dc.title | Optimizing treatment to control LDL cholesterol using machine learning | |
| dc.type | Artículo de revista | |
| dc.type.content | Text | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 996a607a-3eb1-4484-8978-ed736b9fc0b7 | |
| relation.isAuthorOfPublication.latestForDiscovery | 996a607a-3eb1-4484-8978-ed736b9fc0b7 |