Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--

Authors: Muzafer Saračević, Mahir Zajmović, Vani Rajasekar, Sathya Krishnamoorthi, Dzenis Pepić, Haris Zogić

Category: M20

First/Last Page - 117 / 132 Issue - 1 Volume - 23 Publisher - Computer Science DOI - https://doi.org/10.7494/csci.2022.23.1.4315 Year - 2022

Saračević, M., Zajmović, M., Rajasekar, V., Krishnamoorthi, S., Pepić, D., & Zogić, H. (2022). Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--. Computer Science, 23(1), 117–132. https://doi.org/https://doi.org/10.7494/csci.2022.23.1.4315

M. Saračević, M. Zajmović, V. Rajasekar, S. Krishnamoorthi, D. Pepić, and H. Zogić, "Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--," Computer Science, vol. 23, no. 1, pp. 117–132, 2022. doi: https://doi.org/10.7494/csci.2022.23.1.4315.

@misc{Saracevic2022EnsembleMa,
  author       = {Sara{\v{c}}evi{\'c}, Muzafer and Zajmovi{\'c}, Mahir and Rajasekar, Vani  and Krishnamoorthi, Sathya  and Pepi{\'c}, Dzenis  and Zogi{\'c}, Haris},
  title        = {Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body--},
  year         = {2022},
  publisher    = {Computer Science},
  pages        = {117--132},
  note         = {Available online}
}