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Saxena, Surabhi; Mohapatra, Debashish; Padhee, Subhransu; Sahoo, Goutam Kumar

Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms Journal Article

In: Evol. Intel., vol. 16, no. 2, pp. 587–603, 0000, ISSN: 1864-5917.

Links | BibTeX | Tags: Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mathematics (miscellaneous)

@article{Saxena2021,

title = {Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms},

author = {Surabhi Saxena and Debashish Mohapatra and Subhransu Padhee and Goutam Kumar Sahoo},

doi = {10.1007/s12065-021-00685-9},

issn = {1864-5917},

journal = {Evol. Intel.},

volume = {16},

number = {2},

pages = {587--603},

publisher = {Springer Science and Business Media LLC},

keywords = {Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mathematics (miscellaneous)},

pubstate = {published},

tppubtype = {article}

}

doi:10.1007/s12065-021-00685-9

Saxena, Surabhi; Mohapatra, Debashish; Padhee, Subhransu; Sahoo, Goutam Kumar

Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms Journal Article

In: Evol. Intel., vol. 16, no. 2, pp. 587–603, 0000, ISSN: 1864-5917.

Links | BibTeX | Tags: Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mathematics (miscellaneous)

@article{Saxena2021b,

title = {Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms},

author = {Surabhi Saxena and Debashish Mohapatra and Subhransu Padhee and Goutam Kumar Sahoo},

doi = {10.1007/s12065-021-00685-9},

issn = {1864-5917},

journal = {Evol. Intel.},

volume = {16},

number = {2},

pages = {587--603},

publisher = {Springer Science and Business Media LLC},

keywords = {Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mathematics (miscellaneous)},

pubstate = {published},

tppubtype = {article}

}

doi:10.1007/s12065-021-00685-9

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