Posts by Amir Safavi
Thrombosis, Bleeding, and the Observational Effect of Early Therapeutic Anticoagulation on Survival in Critically Ill Patients With COVID-19.
Link: https://doi.org/10.7326/M20-6739 Authors: Al-Samkari, Hanny; Gupta, Shruti; Leaf, Rebecca Karp; Wang, Wei; Rosovsky, Rachel P; Brenner, Samantha K; Hayek, Salim S; Berlin, Hanna; Kapoor, Rajat; Shaefi, Shahzad; Melamed, Michal L; Sutherland, Anne; Radbel, Jared; Green, Adam; Garibaldi, Brian T; Srivastava, Anand; Leonberg-Yoo, Amanda; Shehata, Alexandre M; Flythe, Jennifer E; Rashidi, Arash; Goyal, Nitender; Chan, Lili;…
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 MoreHyperglycemia is Associated With Increased Mortality in Critically Ill Patients With COVID-19.
Link: https://doi.org/S1530-891X(21)00005-7 Authors: Mazori, Alon Y; Bass, Ilana Ramer; Chan, Lili; Mathews, Kusum S; Altman, Deena R; Saha, Aparna; Soh, Howard; Wen, Huei Hsun; Bose, Sonali; Leven, Emily; Wang, Jing Gennie; Mosoyan, Gohar; Pattharanitima, Pattharawin; Greco, Giampaolo; Gallagher, Emily J Abstract: To explore the relationship between hyperglycemia in the presence and absence of diabetes mellitus…
Read MoreIncreasing Prevalence of Frailty and Its Association with Readmission and Mortality Among Hospitalized Patients with IBD.
Link: https://doi.org/10.1007/s10620-020-06746-w Authors: Faye, Adam S; Wen, Timothy; Soroush, Ali; Ananthakrishnan, Ashwin N; Ungaro, Ryan; Lawlor, Garrett; Attenello, Frank J; Mack, William J; Colombel, Jean-Frederic; Lebwohl, Benjamin Abstract: Although age is often used as a clinical risk stratification tool, recent data have suggested that adverse outcomes are driven by frailty rather than chronological age. In…
Read MoreSex differences in viral entry protein expression and host transcript responses to SARS-CoV-2.
Link: https://doi.org/rs.3.rs-100914 Authors: Sun, Mengying; Shankar, Rama; Ko, Meehyun; Chang, Christopher Daniel; Yeh, Shan-Ju; Li, Shilong; Liu, Ke; Zhou, Guoli; Xing, Jing; VanVelsen, Austin; VanVelsen, Tyler; Paithankar, Shreya; Feng, Benjamin Y; Young, Krista; Strug, Michael; Turco, Lauren; Wang, Zichen; Schadt, Eric; Chen, Rong; Li, Xiaohong; Oskotsky, Tomiko; Sirota, Marina; Glicksberg, Benjamin S; Nadkarni, Girish N;…
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…
Read MorePrediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank.
Link: https://doi.org/S0002-9149(20)31342-4 Authors: Chaudhary, Kumardeep; Petrazzini, Ben O; Narula, Jagat; Nadkarni, Girish N; Do, Ron Abstract:
Read MoreCOVID-19: The Kidneys Tell a Tale.
Link: https://doi.org/S0272-6386(20)31092-1 Authors: Chan, Lili; Hindi, Judy; Nadkarni, Girish N Abstract:
Read MoreRetrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.
Link: https://doi.org/10.1136/bmjopen-2020-040736 Authors: Paranjpe, Ishan; Russak, Adam J; De Freitas, Jessica K; Lala, Anuradha; Miotto, Riccardo; Vaid, Akhil; Johnson, Kipp W; Danieletto, Matteo; Golden, Eddye; Meyer, Dara; Singh, Manbir; Somani, Sulaiman; Kapoor, Arjun; O’Hagan, Ross; Manna, Sayan; Nangia, Udit; Jaladanki, Suraj K; O’Reilly, Paul; Huckins, Laura M; Glowe, Patricia; Kia, Arash; Timsina, Prem; Freeman, Robert…
Read MoreMachine-learning tool may help predict acute kidney injury in patients with COVID-19
Researchers from Icahn School of Medicine at Mount Sinai found a machine-learning model performed well in predicting risk for AKI and need for dialysis in patients hospitalized with COVID-19. Read More
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