Name
Abstract | ||
|---|---|---|
Within the EU-funded Pulse project, we are implementing a data analytic platform designed to provide public health decision makers with advanced approaches to jointly analyze maps and geospatial information with health care data and air pollution measurements. In this paper we describe a component of such platform, designed to couple deep learning analysis of geospatial images of cities and some healthcare and behavioral indexes collected by the 500 cities US project, showing that, in New York City, urban landscape significantly correlates with the access to healthcare services. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-32785-9_13 | HOW AI IMPACTS URBAN LIVING AND PUBLIC HEALTH, ICOST 2019 |
Keywords | Field | DocType |
Transfer learning, Deep learning, Urban landscape, Health indexes | Data science,Geospatial analysis,Public health,Health care,Computer science,Computer security,Transfer of learning,Correlation,Artificial intelligence,Deep learning,Cluster analysis | Conference |
Volume | ISSN | Citations |
11862 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riccardo Bellazzi | 1 | 1313 | 141.89 |
| Alessandro Aldo Caldarone | 2 | 0 | 0.68 |
| Daniele Pala | 3 | 0 | 0.68 |
| Marica Franzini | 4 | 0 | 1.69 |
| Alberto Malovini | 5 | 0 | 0.68 |
| Cristiana Larizza | 6 | 4 | 0.77 |
| Vittorio Casella | 7 | 0 | 2.03 |