Precision at its Core: Machine Learning-Infused Metabolomics Model for Preterm Birth Prediction in Human

Ansh Tandon,Tushar Gupta, Aysha Verma,Sudeepti Kulshrestha, Riya Dua, Sharvin Varghese,Romasha Gupta,Nagma Abbasi,Priyanka Narad,Ankur Chaurasia,Abhishek Sengupta

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)（2023）

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Machine Learning,Preterm birth,Metabolomics,Bioinformatics,Microbiome,Random Forest,K-Nearest Neighbors,Gradient Boosting,Decision Tree,and Logistic Regression

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