Skip to main content
Record
Title
Predictive modelling using a nationally representative database to identify the determinants of prediabetes; a machine learning analytic approach on the National Health and Nutrition Examination Survey (NHANES) 2013-2014
Type
Student Paper
Publ. year
2018
Author/s
Ranakombu, Kushan Kumara de Silva
Department/s
Social Medicine and Global Health
In LUP since
2018-08-06
Downloads

Total This Year This Month
930 168 13
Downloads per country

United States of America 288 (31%)
India 123 (13%)
Sweden 48 (5%)
Germany 35 (4%)
South Korea 29 (3%)
Australia 29 (3%)
Canada 25 (3%)
United Kingdom of Great Britain and Northern Ireland 24 (3%)
China 22 (2%)
Russian Federation 18 (2%)
Sri Lanka 17 (2%)
Czechia 16 (2%)
Iran 13 (1%)
Ethiopia 12 (1%)
Netherlands (Kingdom of the) 11 (1%)
Hong Kong (China) 10 (1%)
Taiwan (China) 10 (1%)
Kenya 9 (1%)
Malaysia 9 (1%)
Turkiye 9 (1%)
France 8 (1%)
Unknown 8 (1%)
Brazil 7 (1%)
Indonesia 7 (1%)
Pakistan 6 (1%)
South Africa 6 (1%)
Finland 6 (1%)
Ireland 6 (1%)
Japan 6 (1%)
Romania 6 (1%)
Italy 5 (1%)
Egypt 5 (1%)
Saudi Arabia 5 (1%)
Singapore 5 (1%)
Bangladesh 5 (1%)
Viet Nam 4 (0%)
Greece 4 (0%)
Thailand 4 (0%)
Philippines 4 (0%)
Myanmar 4 (0%)
Spain 4 (0%)
Denmark 4 (0%)
Zimbabwe 3 (0%)
Peru 3 (0%)
Morocco 3 (0%)
Lebanon 2 (0%)
Nigeria 2 (0%)
New Zealand 2 (0%)
Armenia 2 (0%)
Austria 2 (0%)
Hungary 2 (0%)
Nepal 2 (0%)
Poland 2 (0%)
Mexico 1 (0%)
Macedonia 1 (0%)
Oman 1 (0%)
Jordan 1 (0%)
Bosnia and Herzegovina 1 (0%)
Serbia 1 (0%)
Switzerland 1 (0%)
United Arab Emirates 1 (0%)
Saint Lucia 1 (0%)
Luxembourg 1 (0%)
Yemen 1 (0%)
Norway 1 (0%)
Belgium 1 (0%)
Cyprus 1 (0%)
Cuba 1 (0%)
Angola 1 (0%)
Kyrgyzstan 1 (0%)
Jamaica 1 (0%)
Kazakhstan 1 (0%)
Slovakia 1 (0%)
Bahrain 1 (0%)
Ghana 1 (0%)
Croatia 1 (0%)
Somalia 1 (0%)
Estonia 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Mon Sep 23 08:36:03 2024