most citedPredicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability

9 citations · 9 across the 2 of their papers we have counts for

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cs.LG2019

Migration through Machine Learning Lens -- Predicting Sexual and Reproductive Health Vulnerability of Young Migrants

Amber Nigam, Pragati Jaiswal, Uma Girkar +2

In this paper, we have discussed initial findings and results of our experiment to predict sexual and reproductive health vulnerabilities of migrants in a data-constrained environm…

cs.LG2018★ 9 cited

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability

Uma M. Girkar, Ryo Uchimido, Li-wei H. Lehman +3

Determining whether hypotensive patients in intensive care units (ICUs) should receive fluid bolus therapy (FBT) has been an extremely challenging task for intensive care physician…