Zobrazeno 1 - 7
of 7
pro vyhledávání: '"G. Pavithraa"'
Autor:
M. Smita, K. Meera, Haripriya Sundaramoorthy, Dolly Jha, B. Chander Mohan, G. Pavithraa, Chagam Koteswara Reddy
Publikováno v:
Journal of Food Science and Technology. 60:1621-1632
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b89f514ac747ce301e9873751282deef
https://doi.org/10.1007/s13197-023-05709-z
https://doi.org/10.1007/s13197-023-05709-z
Autor:
S. Sivaprasad, G. Pavithraa
Publikováno v:
CARDIOMETRY. :773-777
Aim: Prediction of coronary illness utilizing novel Novel k nearest neighbor (KNN) and contrasting its accuracy with decision tree algorithm. Materials and Methods: Two gatherings are proposed for foreseeing the accuracy (%) of coronary illness. To b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19f28ad2b3b67f7da3f522ebbb1797d4
https://doi.org/10.18137/cardiometry.2022.25.773777
https://doi.org/10.18137/cardiometry.2022.25.773777
Autor:
G. Pavithraa
Publikováno v:
CARDIOMETRY. :783-787
Aim: prediction of coronary disease using novel support vector machine and comparing its accuracy with logistic regression algorithm. Materials and methods: Two social affairs are proposed for predicting the accuracy (%) of coronary disease. To be ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7049f485f9294d23573be860d0ac8ded
https://doi.org/10.18137/cardiometry.2022.25.783787
https://doi.org/10.18137/cardiometry.2022.25.783787
Autor:
S. Sivaprasad, G. Pavithraa
Publikováno v:
CARDIOMETRY. :788-793
Aim : Prediction of heart disease using Novel Random Forest and comparing its accuracy with Naive Bayes algorithm. Materials and methods: Two groups are proposed for predicting the accuracy (%) of heart disease. Namely, the Novel Random Forest and Na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::421c36ecb24f7ef8624bb79e7cb7a3ec
https://doi.org/10.18137/cardiometry.2022.25.788793
https://doi.org/10.18137/cardiometry.2022.25.788793
Autor:
G. Pavithraa
Publikováno v:
CARDIOMETRY. :778-782
Aim: Prediction of coronary sickness utilizing novel genetic algorithm and contrasting its accuracy with XG boost algorithm. Materials and methods: Two models are proposed for foreseeing the accuracy (%) of coronary infection. To be unequivocal, a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::005063ad18bdaf3268eb24a6223f09c5
https://doi.org/10.18137/cardiometry.2022.25.778782
https://doi.org/10.18137/cardiometry.2022.25.778782
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Akademický článek
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