Posts Tagged ‘Recurrent Learning’
Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury.
Link: https://doi.org/10.1159/000513700 Authors: Pattharanitima, Pattharawin; Vaid, Akhil; Jaladanki, Suraj K; Paranjpe, Ishan; O’Hagan, Ross; Chauhan, Kinsuk; Van Vleck, Tielman T; Duffy, Aine; Chaudhary, Kumardeep; Glicksberg, Benjamin S; Neyra, Javier A; Coca, Steven G; Chan, Lili; Nadkarni, Girish N Abstract: Acute kidney injury (AKI) in critically ill patients is common, and continuous renal replacement therapy (CRRT)…
Read MoreContrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
Link: https://doi.org/arXiv:2101.04013v1 Authors: Wanyan, Tingyi; Honarvar, Hossein; Jaladanki, Suraj K; Zang, Chengxi; Naik, Nidhi; Somani, Sulaiman; Freitas, Jessica K De; Paranjpe, Ishan; Vaid, Akhil; Miotto, Riccardo; Nadkarni, Girish N; Zitnik, Marinka; ArifulAzad, ; Wang, Fei; Ding, Ying; Glicksberg, Benjamin S Abstract: Machine Learning (ML) models typically require large-scale, balanced training data to be robust, generalizable,…
Read MoreRelational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
Link: https://doi.org/10.1109/tbdata.2020.3048644 Authors: Wanyan, Tingyi; Vaid, Akhil; De Freitas, Jessica K; Somani, Sulaiman; Miotto, Riccardo; Nadkarni, Girish N; Azad, Ariful; Ding, Ying; Glicksberg, Benjamin S Abstract: Traditional Machine Learning (ML) models have had limited success in predicting Coronoavirus-19 (COVID-19) outcomes using Electronic Health Record (EHR) data partially due to not effectively capturing the inter-connectivity patterns…
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