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Year | Number of Results |
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2022 | 5 |
2023 | 1 |
2024 | 0 |
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Page 1
An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review.
Biomedicines. 2022 Sep 5;10(9):2188. doi: 10.3390/biomedicines10092188.
Biomedicines. 2022.
PMID: 36140289
Free PMC article.
Review.
Novel Phenotyping for Acute Heart Failure-Unsupervised Machine Learning-Based Approach.
Urban S, Błaziak M, Jura M, Iwanek G, Zdanowicz A, Guzik M, Borkowski A, Gajewski P, Biegus J, Siennicka A, Pondel M, Berka P, Ponikowski P, Zymliński R.
Urban S, et al. Among authors: berka p.
Biomedicines. 2022 Jun 27;10(7):1514. doi: 10.3390/biomedicines10071514.
Biomedicines. 2022.
PMID: 35884819
Free PMC article.
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Machine Learning Approach to Understand Worsening Renal Function in Acute Heart Failure.
Urban S, Błaziak M, Jura M, Iwanek G, Ponikowska B, Horudko J, Siennicka A, Berka P, Biegus J, Ponikowski P, Zymliński R.
Urban S, et al. Among authors: berka p.
Biomolecules. 2022 Nov 2;12(11):1616. doi: 10.3390/biom12111616.
Biomolecules. 2022.
PMID: 36358966
Free PMC article.
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Multi-class classification of COVID-19 documents using machine learning algorithms.
Rabby G, Berka P.
Rabby G, et al. Among authors: berka p.
J Intell Inf Syst. 2023;60(2):571-591. doi: 10.1007/s10844-022-00768-8. Epub 2022 Nov 29.
J Intell Inf Syst. 2023.
PMID: 36465147
Free PMC article.
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Answering Clinical Questions Using Machine Learning: Should We Look at Diastolic Blood Pressure When Tailoring Blood Pressure Control?
Siński M, Berka P, Lewandowski J, Sobieraj P, Piechocki K, Paleczny B, Siennicka A.
Siński M, et al. Among authors: berka p.
J Clin Med. 2022 Dec 15;11(24):7454. doi: 10.3390/jcm11247454.
J Clin Med. 2022.
PMID: 36556072
Free PMC article.
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