Joana Pimenta
Biographic Data
| ID | 8052365 |
|---|---|
| NAME | Joana Pimenta |
| GIVEN NAMES | Joana |
| FAMILY NAME | Pimenta |
| SIGNATURE | PIMENTA J |
| AFFILIATIONS | Hospital de São João |
| ORCID | 0000-0003-4930-0234 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
The Association between Childhood Obesity and Cardiovascular Changes in 10 Years Using Special Data Science Analysis
The increasing prevalence of overweight and obesity is a worldwide problem, with several well-known consequences that might start to develop early in life during childhood. The present research based on data from children that have been followed since birth in a previously established cohort study (Generation XXI, Porto, Portugal), taking advantage of State-of-the-Art (SoA) data science techniques and methods, including Neural Architecture Search…
O1-4.5 Prognostic value of a novel classification scheme of clinical symptoms and signs of heart failure adjusted for major confounders
Introduction Only one third of patients suspected of having heart failure (HF) see this diagnosis confirmed. Gender, age, education and obesity are major determinants of unconfirmed suspicions. Objective To assess the impact of including major confounders in classification schemes based on clinical data solely (model 1–11 symptoms/signs) or considering objective evidence of cardiac dysfunction (model 2). Methods Cross-sectional evaluation of 1115…
No prominent works on this page.
O1-4.5 Prognostic value of a novel classification scheme of clinical symptoms and signs of heart failure adjusted for major confounders
Introduction Only one third of patients suspected of having heart failure (HF) see this diagnosis confirmed. Gender, age, education and obesity are major determinants of unconfirmed suspicions. Objective To assess the impact of including major confounders in classification schemes based on clinical data solely (model 1–11 symptoms/signs) or considering objective evidence of cardiac dysfunction (model 2). Methods Cross-sectional evaluation of 1115…
The Association between Childhood Obesity and Cardiovascular Changes in 10 Years Using Special Data Science Analysis
The increasing prevalence of overweight and obesity is a worldwide problem, with several well-known consequences that might start to develop early in life during childhood. The present research based on data from children that have been followed since birth in a previously established cohort study (Generation XXI, Porto, Portugal), taking advantage of State-of-the-Art (SoA) data science techniques and methods, including Neural Architecture Search…
Internal Medicine (2 works) · Medicine (2 works) · Association (psychology (1 work) · Asymptomatic (1 work) · Bone and Joint Diseases (1 work) · Cardiology (1 work) · Cardiovascular Disease and Adiposity (1 work) · Cardiovascular Health and Risk Factors (1 work) · Childhood obesity (1 work) · Cohort (1 work)