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Integrated metabolomics and machine learning approach to predict hypertensive disorders of pregnancy

Bincy Varghese, Aishwarya Jala, Soumya Meka, Deepthi Adla, Shraddha Jangili, Ratna Kanta Talukdar, Srinivasa Rao Mutheneni, Roshan M. Borkar, Ramu Adela

2022American Journal of Obstetrics & Gynecology MFM23 citationsDOI

Topics & Concepts

PregnancyMedicineMultivariate analysisGestational hypertensionUnivariate analysisUrinePreeclampsiaMetabolomicsFetusPhysiologyInternal medicineObstetricsBioinformaticsBiologyGeneticsPregnancy and preeclampsia studiesGestational Diabetes Research and ManagementMetabolomics and Mass Spectrometry Studies
Integrated metabolomics and machine learning approach to predict hypertensive disorders of pregnancy | Litcius