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Prediction of Changes in Blood Parameters Induced by Low-Frequency Ultrasound

In this study, we reveal the influence of low-frequency ultrasound on erythrocyte and platelet aggregation. Furthermore, we show that the consequences of sonication of blood samples can be predicted using machine learning techniques based on a set of explicit parameters. A total of 300 blood samples...

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Principais autores: Vytautas Ostasevicius, Agnė Paulauskaite-Taraseviciene, Vaiva Lesauskaite, Vytautas Jurenas, Vacis Tatarunas, Edgaras Stankevicius, Agilė Tunaityte, Mantas Venslauskas, Laura Kizauskiene
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-10-01
Serier:Applied System Innovation
Fag:
blood samples
acoustic intensity
platelet aggregation
hematological disorders
Kruskal–Wallis test
support vector regression
Online adgang:https://www.mdpi.com/2571-5577/6/6/99
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