Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees. [PDF]
Aswal S, Ahuja NJ, Mehra R.
europepmc +1 more source
A prediction study on the occurrence risk of heart disease in older hypertensive patients based on machine learning. [PDF]
Si F, Liu Q, Yu J.
europepmc +1 more source
Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models. [PDF]
Pan J+9 more
europepmc +1 more source
Diagnosis of early idiopathic pulmonary fibrosis: current status and future perspective. [PDF]
Wang X+6 more
europepmc +1 more source
Machine learning algorithms for the clinical diagnosis of acute atypical asthma exacerbation. [PDF]
Ma F, Zhu W, Jiang P, Bai X, Li W.
europepmc +1 more source
PVRI International Conference 2025: Embracing Heterogeneity. [PDF]
Singh N, Zeder K.
europepmc +1 more source
SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data
Saldanha OL+7 more
europepmc +1 more source
Related searches:
The relationship between neurocognitive decline and the heart‐lung machine
Journal of Cardiac Surgery, 2020Surgery involving the use of cardiopulmonary bypass (CPB) has long been associated with cerebral changes and may also contribute to adverse neurocognitive outcomes. However, there is a debate as to whether bypass itself is responsible for these changes.
Christina Tamargo+2 more
openaire +3 more sources
During cardiac surgery and interventions on the large vessels, it is often necessary to disconnect the heart and lungs from the natural circulatory system and to stop them from working temporarily. When open heart surgery or coronary interventions are carried out, the heart and lung function is usually taken over by an external heart-lung machine (HLM).
Ulrich Böckler, Andreas Hahn
openaire +2 more sources