Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health
The presented study explores the clustering of arterial oscillogram (AO) data among a sample of patients, focusing on ultra-low-frequency (ULF) indicators and their relationship with depression levels. Through dimensionality reduction using UMAP, two distinct classes emerged, categorized as lighter...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2024-10-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/8982 |
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