Title |
Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population
|
---|---|
Published in |
Genomics & Informatics, December 2018
|
DOI | 10.5808/gi.2018.16.4.e31 |
Pubmed ID | |
Authors |
Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 4 | 11% |
Researcher | 3 | 9% |
Professor > Associate Professor | 2 | 6% |
Professor | 1 | 3% |
Other | 3 | 9% |
Unknown | 13 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 17% |
Computer Science | 5 | 14% |
Mathematics | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Engineering | 2 | 6% |
Other | 5 | 14% |
Unknown | 13 | 37% |