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Heart Failure Disease Progression Assessment in Patients Through the Use of Traditional Machine Learning Approaches
| Title: | Heart Failure Disease Progression Assessment in Patients Through the Use of Traditional Machine Learning Approaches | Authors: | Blagojevic, Andjela; Tomasevic, Smiljana; Pavic, Ognjen; Dasic, Lazar   ; Geroski, Tijana; Preveden, Andrej; Velicki, Lazar; Filipovic, Nenad |
Issue Date: | 2026 | Publication: | APPLIED ARTIFICIAL INTELLIGENCE 4-5: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI | ISSN: | 2367-3370  Search Idenfier |
Type: | Conference Paper | Collation: | vol. 1943 str. 39-48 | DOI: | 10.1007/978-3-032-23890-0_5 | WoS-ID: | 001849075100005 | Scopus-ID: | 2-s2.0-105046106355 | URI: | https://enauka.gov.rs/handle/123456789/1051826 | Project: | Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-136/202503/200107, 451-03-136/2025-03/200378] Science Fund of the Republic of Serbia [7580] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
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