LUP Statistics
Record
- Title
- Predicting preterm birth with machine learning methods
- Type
- Student Paper
- Publ. year
- 2022
- Author/s
- Dresse, Zélie Isabelle E
- Department/s
- Department of Economics
- In LUP since
- 2022-06-08
Downloads
| Total | This Year | This Month |
| 485 | 3 | 3 |
United States of America  |
75 (16%) |
Sweden  |
64 (13%) |
India  |
46 (10%) |
United Kingdom of Great Britain and Northern Ireland  |
36 (8%) |
Ethiopia  |
30 (6%) |
Unknown  |
27 (6%) |
Bangladesh  |
18 (4%) |
China  |
15 (3%) |
Brazil  |
13 (3%) |
Colombia  |
10 (2%) |
Nigeria  |
9 (2%) |
Nepal  |
9 (2%) |
Israel  |
7 (1%) |
Singapore  |
7 (1%) |
Germany  |
6 (1%) |
Canada  |
6 (1%) |
Australia  |
5 (1%) |
Sri Lanka  |
5 (1%) |
Belgium  |
5 (1%) |
Indonesia  |
5 (1%) |
Iran  |
5 (1%) |
Viet Nam  |
4 (1%) |
Hong Kong (China)  |
4 (1%) |
Pakistan  |
4 (1%) |
Czechia  |
3 (1%) |
South Africa  |
3 (1%) |
France  |
3 (1%) |
Malaysia  |
3 (1%) |
Zimbabwe  |
3 (1%) |
Egypt  |
3 (1%) |
Switzerland  |
2 (0%) |
Turkiye  |
2 (0%) |
Mexico  |
2 (0%) |
Denmark  |
2 (0%) |
Romania  |
2 (0%) |
United Arab Emirates  |
2 (0%) |
South Korea  |
2 (0%) |
Russian Federation  |
2 (0%) |
Poland  |
2 (0%) |
Netherlands (Kingdom of the)  |
2 (0%) |
Finland  |
2 (0%) |
Yemen  |
1 (0%) |
Ecuador  |
1 (0%) |
Macedonia  |
1 (0%) |
Ghana  |
1 (0%) |
Somalia  |
1 (0%) |
Rwanda  |
1 (0%) |
Uganda  |
1 (0%) |
XK  |
1 (0%) |
Oman  |
1 (0%) |
Tanzania, the United Republic of  |
1 (0%) |
Iraq  |
1 (0%) |
Malta  |
1 (0%) |
Kenya  |
1 (0%) |
Norway  |
1 (0%) |
Thailand  |
1 (0%) |
Myanmar  |
1 (0%) |
Cyprus  |
1 (0%) |
Spain  |
1 (0%) |
Lithuania  |
1 (0%) |
Taiwan (China)  |
1 (0%) |
Greece  |
1 (0%) |