Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tatjana Lončar-Turukalo"'
Autor:
Andrea Simeon, Miloš Radovanović, Tatjana Lončar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Microbiome dysbiosis has recently been associated with different diseases and disorders. In this context, machine learning (ML) approaches can be useful either to identify new patterns or learn predictive models. However, data to
Externí odkaz:
https://doaj.org/article/e0eef787c32241e5ada873995f307c95
Akademický článek
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Autor:
Tatjana Lončar-Turukalo, Eftim Zdravevski, José Machado Da Silva, Ioanna Chouvarda, Vladimir Trajkovik
BACKGROUND In the last decade the advances in wearable technology have driven and transformed performance monitoring in fitness and wellness applications, surveillance in extreme (working) conditions, and management of chronic diseases. These innovat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24e31c1c8de3cad01f83afc335dc7233
https://doi.org/10.2196/preprints.14017
https://doi.org/10.2196/preprints.14017
Autor:
Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, Marcus Frohme, Kanita Karaduzovic-Hadziabdic, Thomas Klammsteiner, Eliana Ibrahimi, Leo Lahti, Tatjana Loncar-Turukalo, Xhilda Dhamo, Andrea Simeon, Alina Nechyporenko, Gianvito Pio, Piotr Przymus, Alexia Sampri, Vladimir Trajkovik, Blanca Lacruz-Pleguezuelos, Oliver Aasmets, Ricardo Araujo, Ioannis Anagnostopoulos, Önder Aydemir, Magali Berland, M. Luz Calle, Michelangelo Ceci, Hatice Duman, Aycan Gündoğdu, Aki S. Havulinna, Kardokh Hama Najib Kaka Bra, Eglantina Kalluci, Sercan Karav, Daniel Lode, Marta B. Lopes, Patrick May, Bram Nap, Miroslava Nedyalkova, Inês Paciência, Lejla Pasic, Meritxell Pujolassos, Rajesh Shigdel, Antonio Susín, Ines Thiele, Ciprian-Octavian Truică, Paul Wilmes, Ercument Yilmaz, Malik Yousef, Marcus Joakim Claesson, Jaak Truu, Enrique Carrillo de Santa Pau
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high dimensionality. Machine learni
Externí odkaz:
https://doaj.org/article/7e8c2a9ec3074e74b5f235b502816b53
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Autor:
Domenica D’Elia, Jaak Truu, Leo Lahti, Magali Berland, Georgios Papoutsoglou, Michelangelo Ceci, Aldert Zomer, Marta B. Lopes, Eliana Ibrahimi, Aleksandra Gruca, Alina Nechyporenko, Marcus Frohme, Thomas Klammsteiner, Enrique Carrillo-de Santa Pau, Laura Judith Marcos-Zambrano, Karel Hron, Gianvito Pio, Andrea Simeon, Ramona Suharoschi, Isabel Moreno-Indias, Andriy Temko, Miroslava Nedyalkova, Elena-Simona Apostol, Ciprian-Octavian Truică, Rajesh Shigdel, Jasminka Hasić Telalović, Erik Bongcam-Rudloff, Piotr Przymus, Naida Babić Jordamović, Laurent Falquet, Sonia Tarazona, Alexia Sampri, Gaetano Isola, David Pérez-Serrano, Vladimir Trajkovik, Lubos Klucar, Tatjana Loncar-Turukalo, Aki S. Havulinna, Christian Jansen, Randi J. Bertelsen, Marcus Joakim Claesson
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve
Externí odkaz:
https://doaj.org/article/5f8da7afb1744c6687be2586111ac38e
Publikováno v:
Studies in health technology and informatics. 224
Lumbar disc herniation (LDH) is the most common disease among working population requiring surgical intervention. This study aims to predict the return to work after operative treatment of LDH based on the observational study including 153 patients.
Autor:
Srdjan, Sladojević, Marko, Arsenović, Tatjana, Lončar-Turukalo, Miroslava, Sladojević, Dubravko, Ćulibrk
Publikováno v:
Studies in health technology and informatics. 224
The burden of chronic disease and associated disability present a major threat to financial sustainability of healthcare delivery systems. The need for cost-effective early diagnosis and disease prevention is evident driving the development of person
Autor:
Ivan Lazic, Ferran Agullo, Susanna Ausso, Bruno Alves, Caroline Barelle, Josep Ll. Berral, Paschalis Bizopoulos, Oana Bunduc, Ioanna Chouvarda, Didier Dominguez, Dimitrios Filos, Alberto Gutierrez-Torre, Iman Hesso, Nikša Jakovljević, Reem Kayyali, Magdalena Kogut-Czarkowska, Alexandra Kosvyra, Antonios Lalas, Maria Lavdaniti, Tatjana Loncar-Turukalo, Sara Martinez-Alabart, Nassos Michas, Shereen Nabhani-Gebara, Andreas Raptopoulos, Yiannis Roussakis, Evangelia Stalika, Chrysostomos Symvoulidis, Olga Tsave, Konstantinos Votis, Andreas Charalambous
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8755 (2022)
Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. This work presents the INC
Externí odkaz:
https://doaj.org/article/58fd8c5f904740d2bdadb36efa270fda
Publikováno v:
Entropy, Vol 23, Iss 6, p 698 (2021)
Apnea and other breathing-related disorders have been linked to the development of hypertension or impairments of the cardiovascular, cognitive or metabolic systems. The combined assessment of multiple physiological signals acquired during sleep is o
Externí odkaz:
https://doaj.org/article/02b37c5e5e01433eac8b60ee6faa4bed
Autor:
Vladimir Tadic, Tatjana Loncar-Turukalo, Akos Odry, Zeljen Trpovski, Attila Toth, Zoltan Vizvari, Peter Odry
Publikováno v:
Symmetry, Vol 13, Iss 4, p 678 (2021)
This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust
Externí odkaz:
https://doaj.org/article/d9e398fbf86049f3afbc56adeb178e5b