Performance accuracy between classifiers in sustain of diseae conversion for clinical trial tuberculosis data: Data mining approach.

Ponnuraja, C (2016) Performance accuracy between classifiers in sustain of diseae conversion for clinical trial tuberculosis data: Data mining approach. IOSR Journal of Dental and Medical Sciences, 15 (4). pp. 105-111. ISSN e-ISSN: 2279-0853, p-ISSN: 2279-0861.

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Affiliation: ICMR-National Institute for Research in Tuberuclosis
Item Type: Article
URI: http://eprints.nirt.res.in/id/eprint/1458

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