| Title: | Proposal of a familial hypercholesterolemia pediatric diagnostic score (FH-PeDS) |
|---|
| Authors: | ID Kafol, Jan (Author)
ID Miranda, Beatriz (Author)
ID Šikonja, Rok (Author)
ID Šikonja, Jaka (Author)
ID Wiegman, Albert (Author)
ID Mlinarič, Matej (Author)
ID Battelino, Tadej (Author)
ID Grošelj, Urh (Author)
ID Čugalj Kern, Barbara (Research coworker)
ID Kovač, Jernej (Research coworker)
ID Drole Torkar, Ana (Research coworker)
ID Filipič, Maja (Research coworker)
ID Remec, Žiga Iztok (Research coworker)
ID Repič-Lampret, Barbka (Research coworker)
ID Debeljak, Maruša (Research coworker)
ID Trebušak Podkrajšek, Katarina (Research coworker)
ID Fras, Zlatko (Research coworker)
ID Jug, Borut (Research coworker)
ID Jelinčič, Zala (Research coworker)
ID Trifunoski, Dimitar (Research coworker)
ID Pesjak, Luka (Research coworker), et al. |
|---|
| Files: |  PDF - Presentation file, download (871,63 KB)
MD5: E84864C9F400C4D8785A7CCA631476A3
 URL - Source URL, visit https://academic.oup.com/eurjpc/article/33/9/1572/8169832
|
|---|
| Language: | English |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: |  UKC LJ - Ljubljana University Medical Centre
|
|---|
| Keywords: | familial hypercholesterolemia, diagnostic criteria, detection, machine learning model, cardiovascular disease, children |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Year of publishing: | 2026 |
|---|
| Number of pages: | str. 1572–1584 |
|---|
| Numbering: | Vol. 33, iss. 9 |
|---|
| PID: | 20.500.12556/DiRROS-31309  |
|---|
| UDC: | 616.1 |
|---|
| ISSN on article: | 2047-4881 |
|---|
| DOI: | 10.1093/eurjpc/zwaf352 |
|---|
| COBISS.SI-ID: | 243206659 |
|---|
| Note: | Nasl. z nasl. zaslona;
Opis z dne 21. 7. 2025;
|
|---|
| Publication date in DiRROS: | 27.07.2026 |
|---|
| Views: | 76 |
|---|
| Downloads: | 46 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
