In this paper, we propose an interpretable causal method for BPD prediction task (Fig. 3). It consists of three parts: causal structure graph modeling, mutual information-based instrumental variable, and semantic matching.
In this paper, we focus on the Bronchopulmonary Dysplasia (BPD) prediction task, which aims to identify the BPD in premature infants based on the given ...
Duration: 14:49
Posted: Jun 7, 2023
Posted: Jun 7, 2023
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In this paper, we focus on the Bronchopulmonary Dysplasia (BPD) prediction task, which aims to identify the BPD in premature infants based on the given ...
Feb 12, 2024 · Current therapies mainly focus on symptom management after the development of BPD, indicating a need for innovative approaches to predict and ...
When the chest X-ray (CXR) is performed on the premature infants with BPD, increased lung density can be seen without normal lung markings. Previously, Dassios ...
A bioinformatics approach towards bronchopulmonary dysplasia - PMC
www.ncbi.nlm.nih.gov › PMC10326754
Jun 19, 2023 · In this review, we will examine the novel role of bioinformatics in understanding the pathophysiology of bronchopulmonary dysplasia (BPD) in ...
May 8, 2023 · This cohort study examines the association between postnatal corticosteroid therapy to prevent bronchopulmonary dysplasia (BPD) and risk of ...
PDF | Objective To demonstrate and validate the improvement of current risk stratification for bronchopulmonary dysplasia (BPD) early after birth by.
Nov 10, 2022 · In the present study, we developed an early prediction model to distinguish the severity of BPD based on a five-year cohort at a level IV NICU.