Ana-Maria Adam
Biographic Data
| ID | 7897482 |
|---|---|
| NAME | Ana-Maria Adam |
| GIVEN NAMES | Ana-Maria |
| FAMILY NAME | Adam |
| SIGNATURE | ADAM A |
| AFFILIATIONS | "Dunarea de Jos" University of Galati |
| ORCID | 0009-0004-8695-5381 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Hematologic Risk Factors for the Development of Retinopathy of Prematurity—A Retrospective Study
(1) Background: Retinopathy of prematurity (ROP) can cause severe visual impairment or even blindness. We aimed to assess the hematological risk factors that are associated with different stages of ROP in a cohort of preterm newborns, and to compare the clinical characteristics and therapeutic interventions between groups. (2) Methods: This retrospective study included 149 preterm newborns from a tertiary maternity hospital in Romania between Jan…
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…
No prominent works on this page.
Hematologic Risk Factors for the Development of Retinopathy of Prematurity—A Retrospective Study
(1) Background: Retinopathy of prematurity (ROP) can cause severe visual impairment or even blindness. We aimed to assess the hematological risk factors that are associated with different stages of ROP in a cohort of preterm newborns, and to compare the clinical characteristics and therapeutic interventions between groups. (2) Methods: This retrospective study included 149 preterm newborns from a tertiary maternity hospital in Romania between Jan…
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…
Internal Medicine (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Computer Science (1 work) · Confidence interval (1 work) · Gestational age (1 work) · Hepatitis B (1 work) · Hepatitis B Virus Studies (1 work) · Hepatitis C (1 work) · Hepatitis C virus research (1 work)