Report for: Prediction of Type-2 Diabetes Mellitus Disease Using Machine Learning Classifiers and Techniques

Title	Prediction of Type-2 Diabetes Mellitus Disease Using Machine Learning Classifiers and Techniques
Published in	Frontiers in Computer Science, May 2022
DOI	10.3389/fcomp.2022.835242
Authors	B. Shamreen Ahamed, Meenakshi Sumeet Arya, Auxilia Osvin Nancy

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.

Country	Count	As %
Switzerland	1	50%
Unknown	1	50%

Type	Count	As %
Members of the public	2	100%

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	41	100%

Readers by professional status	Count	As %
Student > Ph. D. Student	4	10%
Student > Master	3	7%
Other	1	2%
Student > Doctoral Student	1	2%
Professor	1	2%
Other	3	7%
Unknown	28	68%

Readers by discipline	Count	As %
Computer Science	8	20%
Unspecified	1	2%
Nursing and Health Professions	1	2%
Biochemistry, Genetics and Molecular Biology	1	2%
Physics and Astronomy	1	2%
Other	1	2%
Unknown	28	68%

Prediction of Type-2 Diabetes Mellitus Disease Using Machine Learning Classifiers and Techniques