Zobrazeno 1 - 10
of 32
pro vyhledávání: '"D. Devikanniga"'
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 7, Iss 29 (2020)
The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain. It has proved its efficiency
Externí odkaz:
https://doaj.org/article/c44e271516ce4eac8c65ce09de09f305
Autor:
D. Devikanniga, R. Joshua Samuel Raj
Publikováno v:
Healthcare Technology Letters (2018)
Osteoporosis is a life threatening disease which commonly affects women mostly after their menopause. It primarily causes mild bone fractures, which on advanced stage leads to the death of an individual. The diagnosis of osteoporosis is done based on
Externí odkaz:
https://doaj.org/article/c6a7913dfaf54d45bcd797192fe1e9c6
Autor:
R. Joshua Samuel Raj, D. Devikanniga
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 28:213-236
Among other machine learning techniques, the extreme learning machine has evidently proved its diagnostic accuracy on many cases in medical domain. Its accuracy mainly depends on the optimal parameters that are used in training. The proposed work is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6ce7932940e3cd968e875d975f7b28
https://doi.org/10.1142/s0218488520500099
https://doi.org/10.1142/s0218488520500099
Autor:
D. Devikanniga
Publikováno v:
International Journal of Intelligent Networks. 1:43-51
Osteoporosis is the silent killer disease that mostly occur in elderly people because of bone fragility and fracture. Early and accurate diagnosis of osteoporosis saves the patient life. This work focuses on developing an efficient classifier model t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e786224508defa55ebc07638a6803104
https://doi.org/10.1016/j.ijin.2020.05.004
https://doi.org/10.1016/j.ijin.2020.05.004
Autor:
D, Devikanniga, Raj, R. Joshua Samuel
Publikováno v:
International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Apr2020, Vol. 28 Issue 2, p213-236, 24p
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 7, Iss 29 (2020)
The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain. It has proved its efficiency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbccf9f2c3d69c080e3199014b9f97f4
https://eudl.eu/pdf/10.4108/eai.13-7-2018.164177
https://eudl.eu/pdf/10.4108/eai.13-7-2018.164177
Autor:
R. Joshua Samuel Raj, D. Devikanniga
Publikováno v:
Intelligence in Big Data Technologies—Beyond the Hype ISBN: 9789811552847
The rapid loss of bones may lead to osteoporosis. The diagnosis of osteoporosis at earlier stage may save the life of an individual. This can be done only on accurate predictions. Many algorithms were used for osteoporosis diagnosis, and still, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d0001307999739f92818fe5c550487
https://doi.org/10.1007/978-981-15-5285-4_61
https://doi.org/10.1007/978-981-15-5285-4_61
Autor:
R. Joshua Samuel Raj, D. Devikanniga
Publikováno v:
Healthcare Technology Letters
Healthcare Technology Letters (2018)
Healthcare Technology Letters (2018)
Osteoporosis is a life threatening disease which commonly affects women mostly after their menopause. It primarily causes mild bone fractures, which on advanced stage leads to the death of an individual. The diagnosis of osteoporosis is done based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0901f360a1ae773d2443696fa9b166
https://pubmed.ncbi.nlm.nih.gov/29750116
https://pubmed.ncbi.nlm.nih.gov/29750116
Publikováno v:
Journal of Physics: Conference Series. 1362:012074
There are several meta-heuristic optimization algorithms developed on inspiration from nature. Artificial neural network proves to be efficient among other machine learning techniques. The efficiency of classification and prediction is improved by op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b95c13295af69e2e53c96eca03a59a6
https://doi.org/10.1088/1742-6596/1362/1/012074
https://doi.org/10.1088/1742-6596/1362/1/012074
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