Search Page
Save citations to file
Email citations
Send citations to clipboard
Add to Collections
Add to My Bibliography
Create a file for external citation management software
Your saved search
Your RSS Feed
Filters
Results by year
Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2018 | 2 |
2019 | 1 |
2022 | 3 |
2023 | 1 |
Search Results
6 results
Results by year
Page 1
Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods.
J Clin Med. 2022 Jul 25;11(15):4311. doi: 10.3390/jcm11154311.
J Clin Med. 2022.
PMID: 35893402
Free PMC article.
Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors.
Kelen D, Daróczy B, Ayala-Gómez F, Ország A, Benczúr A.
Kelen D, et al. Among authors: daroczy b.
Sensors (Basel). 2019 Aug 10;19(16):3498. doi: 10.3390/s19163498.
Sensors (Basel). 2019.
PMID: 31405108
Free PMC article.
Item in Clipboard
Prediction and characterization of human ageing-related proteins by using machine learning.
Kerepesi C, Daróczy B, Sturm Á, Vellai T, Benczúr A.
Kerepesi C, et al. Among authors: daroczy b.
Sci Rep. 2018 Mar 6;8(1):4094. doi: 10.1038/s41598-018-22240-w.
Sci Rep. 2018.
PMID: 29511309
Free PMC article.
Item in Clipboard
Assessment of Associations Between Serum Lipoprotein (a) Levels and Atherosclerotic Vascular Diseases in Hungarian Patients With Familial Hypercholesterolemia Using Data Mining and Machine Learning.
Németh Á, Daróczy B, Juhász L, Fülöp P, Harangi M, Paragh G.
Németh Á, et al. Among authors: daroczy b.
Front Genet. 2022 Feb 9;13:849197. doi: 10.3389/fgene.2022.849197. eCollection 2022.
Front Genet. 2022.
PMID: 35222552
Free PMC article.
Item in Clipboard
Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.
Paragh G, Harangi M, Karányi Z, Daróczy B, Németh Á, Fülöp P.
Paragh G, et al. Among authors: daroczy b.
Atherosclerosis. 2018 Oct;277:262-266. doi: 10.1016/j.atherosclerosis.2018.05.039.
Atherosclerosis. 2018.
PMID: 30270056
Item in Clipboard
Determining the prevalence of childhood hypertension and its concomitant metabolic abnormalities using data mining methods in the Northeastern region of Hungary.
Kovács B, Németh Á, Daróczy B, Karányi Z, Maroda L, Diószegi Á, Nádró B, Szabó T, Harangi M, Páll D.
Kovács B, et al. Among authors: daroczy b.
Front Cardiovasc Med. 2023 Jan 10;9:1081986. doi: 10.3389/fcvm.2022.1081986. eCollection 2022.
Front Cardiovasc Med. 2023.
PMID: 36704476
Free PMC article.
Item in Clipboard
Cite
Cite