Posts Tagged ‘Deep Learning’
Contrastive learning improves critical event prediction in COVID-19 patients.
Link: https://doi.org/10.1016/j.patter.2021.100389 Authors: Wanyan, Tingyi; Honarvar, Hossein; Jaladanki, Suraj K; Zang, Chengxi; Naik, Nidhi; Somani, Sulaiman; De Freitas, Jessica K; Paranjpe, Ishan; Vaid, Akhil; Zhang, Jing; Miotto, Riccardo; Wang, Zhangyang; Nadkarni, Girish N; Zitnik, Marinka; Azad, Ariful; Wang, Fei; Ding, Ying; Glicksberg, Benjamin S Abstract: Deep learning (DL) models typically require large-scale, balanced training data…
Read MoreUsing Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.
Link: https://doi.org/S1936-878X(21)00627-6 Authors: Vaid, Akhil; Johnson, Kipp W; Badgeley, Marcus A; Somani, Sulaiman S; Bicak, Mesude; Landi, Isotta; Russak, Adam; Zhao, Shan; Levin, Matthew A; Freeman, Robert S; Charney, Alexander W; Kukar, Atul; Kim, Bette; Danilov, Tatyana; Lerakis, Stamatios; Argulian, Edgar; Narula, Jagat; Nadkarni, Girish N; Glicksberg, Benjamin S Abstract: This study sought to develop…
Read MoreActivation of STAT3 signaling pathway in the kidney of COVID-19 patients.
Link: https://doi.org/10.1007/s40620-021-01173-0 Authors: Salem, Fadi; Li, Xue Zhu; Hindi, Judy; Casablanca, Nitzy Munoz; Zhong, Fang; El Jamal, Siraj M; Haroon Al Rasheed, Mohamed Rizwan; Li, Li; Lee, Kyung; Chan, Lili; He, John Cijiang Abstract: Acute kidney injury is common in patients with COVID-19, however mechanisms of kidney injury remain unclear. Since cytokine storm is likely…
Read MoreFactors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data.
Link: https://doi.org/10.2196/31295 Authors: Hirten, Robert P; Danieletto, Matteo; Tomalin, Lewis; Choi, Katie Hyewon; Zweig, Micol; Golden, Eddye; Kaur, Sparshdeep; Helmus, Drew; Biello, Anthony; Pyzik, Renata; Calcagno, Claudia; Freeman, Robert; Sands, Bruce E; Charney, Dennis; Bottinger, Erwin P; Murrough, James W; Keefer, Laurie; Suarez-Farinas, Mayte; Nadkarni, Girish N; Fayad, Zahi A Abstract: The COVID-19 pandemic has…
Read MoreGenetic pleiotropy of ERCC6 loss-of-function and deleterious missense variants links retinal dystrophy, arrhythmia, and immunodeficiency in diverse ancestries.
Link: https://doi.org/10.1002/humu.24220 Authors: Forrest, Iain S; Chaudhary, Kumardeep; Vy, Ha My T; Bafna, Shantanu; Kim, Soyeon; Won, Hong-Hee; Loos, Ruth J F; Cho, Judy; Pasquale, Louis R; Nadkarni, Girish N; Rocheleau, Ghislain; Do, Ron Abstract:
Read MorePredictive Approaches for Acute Dialysis Requirement and Death in COVID-19.
Link: https://doi.org/10.2215/CJN.17311120 Authors: Vaid, Akhil; Chan, Lili; Chaudhary, Kumardeep; Jaladanki, Suraj K; Paranjpe, Ishan; Russak, Adam; Kia, Arash; Timsina, Prem; Levin, Matthew A; He, John Cijiang; Böttinger, Erwin P; Charney, Alexander W; Fayad, Zahi A; Coca, Steven G; Glicksberg, Benjamin S; Nadkarni, Girish N; , Abstract: AKI treated with dialysis initiation is a common complication…
Read MoreDerivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.
Link: https://doi.org/10.1007/s00125-021-05444-0 Authors: Chan, Lili; Nadkarni, Girish N; Fleming, Fergus; McCullough, James R; Connolly, Patricia; Mosoyan, Gohar; El Salem, Fadi; Kattan, Michael W; Vassalotti, Joseph A; Murphy, Barbara; Donovan, Michael J; Coca, Steven G; Damrauer, Scott M Abstract: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a…
Read MoreComparison 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 MoreFederated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.
Link: https://doi.org/10.2196/24207 Authors: Vaid, Akhil; Jaladanki, Suraj K; Xu, Jie; Teng, Shelly; Kumar, Arvind; Lee, Samuel; Somani, Sulaiman; Paranjpe, Ishan; De Freitas, Jessica K; Wanyan, Tingyi; Johnson, Kipp W; Bicak, Mesude; Klang, Eyal; Kwon, Young Joon; Costa, Anthony; Zhao, Shan; Miotto, Riccardo; Charney, Alexander W; Böttinger, Erwin; Fayad, Zahi A; Nadkarni, Girish N; Wang, Fei;…
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,…
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