Anca Bivoleanu
Biographic Data
| ID | 7897490 |
|---|---|
| NAME | Anca Bivoleanu |
| GIVEN NAMES | Anca |
| FAMILY NAME | Bivoleanu |
| SIGNATURE | BIVOLEANU A |
| AFFILIATIONS | Grigore T. Popa University of Medicine and Pharmacy |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Ultrasound Evaluation of the Deep Cerebral Venous System in Term and Preterm Neonates
There is no difference in the central venous pattern or angle at the confluence of the TV and the ICV between different categories of neonates. The angle at the confluence between the TV and ICV could identify the cases at risk for GM/IVH as well as the side of occurrence of the haemorrhage, offering the opportunity of developing personalised prevention strategies. The lack of an MRI comparator of these measurements limits the practical importanc…
Nasal High-Frequency Oscillatory Ventilation Use in Romanian Neonatal Intensive Care Units—The Results of a Recent Survey
Our survey showed that nHFOV is already used in more than half of the Romanian level III NICUs to support term and preterm infants with respiratory distress despite a lack of consensus regarding indications and settings during nHFOV
Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity
(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania betw…
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Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity
(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania betw…
Nasal High-Frequency Oscillatory Ventilation Use in Romanian Neonatal Intensive Care Units—The Results of a Recent Survey
Our survey showed that nHFOV is already used in more than half of the Romanian level III NICUs to support term and preterm infants with respiratory distress despite a lack of consensus regarding indications and settings during nHFOV
Ultrasound Evaluation of the Deep Cerebral Venous System in Term and Preterm Neonates
There is no difference in the central venous pattern or angle at the confluence of the TV and the ICV between different categories of neonates. The angle at the confluence between the TV and ICV could identify the cases at risk for GM/IVH as well as the side of occurrence of the haemorrhage, offering the opportunity of developing personalised prevention strategies. The lack of an MRI comparator of these measurements limits the practical importanc…
Medicine (2 works) · Anesthesia (1 work) · Artificial Intelligence (1 work) · Central nervous system (1 work) · Central Venous Catheters and Hemodialysis (1 work) · Cerebrospinal fluid and hydrocephalus (1 work) · Computer Science (1 work) · Confluence (1 work) · Engineering (1 work) · Hepatitis B (1 work)