Predictive Data Analytics on Global Healthy Diet Cost and Prevalence of Malnutrition

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{207269,
        author = {Yash Tripathi and Anoop Kumar and Sumit Sagar and Pratha Saxena},
        title = {Predictive Data Analytics on Global Healthy Diet Cost and Prevalence of Malnutrition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {196-204},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207269},
        abstract = {.},
        keywords = {Food Affordability, Food Security, Healthy Diet Cost, Nutritional Economics, Prevalence of Malnutrition, Purchasing Power Parity (PPP), Predictive Analytics, Time Series Forecasting (SARIMAX).},
        month = {July},
        }

Cite This Article

Tripathi, Y., & Kumar, A., & Sagar, S., & Saxena, P. (2026). Predictive Data Analytics on Global Healthy Diet Cost and Prevalence of Malnutrition. International Journal of Innovative Research in Technology (IJIRT), 196–204.

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