Ansh Tandon, Tushar Gupta, Aysha Verma, Sudeepti Kulshrestha, Riya Dua, Sharvin Varghese, Romasha Gupta, Nagma Abbasi, Priyanka Narad, Ankur Chaurasia, Abhishek Sengupta. Precision at its Core: Machine Learning-Infused Metabolomics Model for Preterm Birth Prediction in Human. In 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, Delhi, India, July 6-8, 2023. pages 1-7, IEEE, 2023. [doi]
@inproceedings{TandonGVKDVGANCS23,
title = {Precision at its Core: Machine Learning-Infused Metabolomics Model for Preterm Birth Prediction in Human},
author = {Ansh Tandon and Tushar Gupta and Aysha Verma and Sudeepti Kulshrestha and Riya Dua and Sharvin Varghese and Romasha Gupta and Nagma Abbasi and Priyanka Narad and Ankur Chaurasia and Abhishek Sengupta},
year = {2023},
doi = {10.1109/ICCCNT56998.2023.10307581},
url = {https://doi.org/10.1109/ICCCNT56998.2023.10307581},
researchr = {https://researchr.org/publication/TandonGVKDVGANCS23},
cites = {0},
citedby = {0},
pages = {1-7},
booktitle = {14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, Delhi, India, July 6-8, 2023},
publisher = {IEEE},
isbn = {979-8-3503-3509-5},
}