Elena Azzolini
Biographic Data
| ID | 7549517 |
|---|---|
| NAME | Elena Azzolini |
| GIVEN NAMES | Elena |
| FAMILY NAME | Azzolini |
| SIGNATURE | AZZOLINI E |
| AFFILIATIONS | University of Siena |
| ORCID | 0000-0003-1257-8929 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke
Natural language processing (NLP)-based models in triage have the potential to improve the early detection of MIS and to actively support the clinical staff
Trends in overweight and obesity prevalence in Tuscan schoolchildren (2002–2012)
Objective The aim of the present study was to examine the prevalence and time trends in childhood overweight including obesity and obesity among Tuscan children from 2002 to 2012. Design Cross-sectional study at five time points (Tuscan Nutritional Surveillance Surveys conducted in the years of 2002, 2006, 2008, 2010 and 2012). Trained personnel directly measured the height and weight of the subjects. BMI was assessed by means of the Internationa…
Factors associated with unhealthy behaviours and health outcomes
Unhealthy behaviours are strongly related to the school environment and peer group. A negative school environment proved to have the strongest relation with poor health outcomes
No prominent works on this page.
Factors associated with unhealthy behaviours and health outcomes
Unhealthy behaviours are strongly related to the school environment and peer group. A negative school environment proved to have the strongest relation with poor health outcomes
Trends in overweight and obesity prevalence in Tuscan schoolchildren (2002–2012)
Objective The aim of the present study was to examine the prevalence and time trends in childhood overweight including obesity and obesity among Tuscan children from 2002 to 2012. Design Cross-sectional study at five time points (Tuscan Nutritional Surveillance Surveys conducted in the years of 2002, 2006, 2008, 2010 and 2012). Trained personnel directly measured the height and weight of the subjects. BMI was assessed by means of the Internationa…
Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke
Natural language processing (NLP)-based models in triage have the potential to improve the early detection of MIS and to actively support the clinical staff
Medicine (3 works) · Demography (2 works) · Demography (2 works) · Environmental health (2 works) · Obesity, Physical Activity, Diet (2 works) · Acute Ischemic Stroke Management (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Birth, Development, and Health (1 work) · Childhood obesity (1 work)