Mariana Stuparu-Crețu
Biographic Data
| ID | 7897486 |
|---|---|
| NAME | Mariana Stuparu-Crețu |
| GIVEN NAMES | Mariana |
| FAMILY NAME | Stuparu-Crețu |
| SIGNATURE | STUPARU-CREȚU M |
| AFFILIATIONS | "Dunarea de Jos" University of Galati |
| ORCID | 0000-0002-0626-2023 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Investigating the Association between Serum and Hematological Biomarkers and Neonatal Sepsis in Newborns with Premature Rupture of Membranes
(1) Background: Neonatal early-onset sepsis (EOS) is associated with important mortality and morbidity. The aims of this study were to evaluate the association between serum and hematological biomarkers with early onset neonatal sepsis in a cohort of patients with prolonged rupture of membranes (PROM) and to calculate their diagnostic accuracy. (2) Methods: A retrospective cohort study was conducted on 1355 newborns with PROM admitted between Jan…
An Epidemiological Perspective on New Pediatric Cases of Type 1 Diabetes and Vitamin D Deficiency in South-East Romania
There is an increasing incidence of pediatric T1DM. Diabetic ketoacidosis was frequently diagnosed as an initial manifestation and has frequently accompanied lower levels of vitamin D. Children with T1DM showed significant vitamin D deficiencies compared to the control group, highlighting the need for the monitoring and supplementation of this vitamin
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…
Investigating the Association between Serum and Hematological Biomarkers and Neonatal Sepsis in Newborns with Premature Rupture of Membranes
(1) Background: Neonatal early-onset sepsis (EOS) is associated with important mortality and morbidity. The aims of this study were to evaluate the association between serum and hematological biomarkers with early onset neonatal sepsis in a cohort of patients with prolonged rupture of membranes (PROM) and to calculate their diagnostic accuracy. (2) Methods: A retrospective cohort study was conducted on 1355 newborns with PROM admitted between Jan…
An Epidemiological Perspective on New Pediatric Cases of Type 1 Diabetes and Vitamin D Deficiency in South-East Romania
There is an increasing incidence of pediatric T1DM. Diabetic ketoacidosis was frequently diagnosed as an initial manifestation and has frequently accompanied lower levels of vitamin D. Children with T1DM showed significant vitamin D deficiencies compared to the control group, highlighting the need for the monitoring and supplementation of this vitamin
Internal Medicine (3 works) · Medicine (3 works) · Computer Science (2 works) · Pediatrics (2 works) · Retrospective cohort study (2 works) · Artificial Intelligence (1 work) · C-reactive protein (1 work) · Diabetes mellitus (1 work) · Digestive system and related health (1 work) · Endocrinology (1 work)