Statistical modeling to determine severity of respiratory sarcoidosis and parameters associated with cardiac sarcoidosis: as a way to stratify the risk of developing pulmonary hypertension
Aim. Using statistical modeling techniques, we aim to develop a model that optimizes the prediction of severity of sarcoidosis that affects the respiratory system (SRS) based on the identification and determination of signs (anamnestic, clinical, laboratory, instrumental examination data, etc.) asso...
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Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Siberian State Medical University (Tomsk)
2025-04-01
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Series: | Бюллетень сибирской медицины |
Subjects: | |
Online Access: | https://bulletin.ssmu.ru/jour/article/view/5960 |
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