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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
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Germany 32 (4%)
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Australia 29 (3%)
Canada 24 (3%)
United Kingdom of Great Britain and Northern Ireland 24 (3%)
China 20 (2%)
Sri Lanka 17 (2%)
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Russian Federation 16 (2%)
Ethiopia 12 (1%)
Iran 11 (1%)
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Taiwan (China) 10 (1%)
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Malaysia 9 (1%)
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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.

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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
Tue Jul 16 08:47:27 2024