Posts Tagged ‘Machine Learning’
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City.
Link: https://doi.org/10.1101/2021.07.25.21261105 Authors: Jaladanki, Suraj K; Vaid, Akhil; Sawant, Ashwin S; Xu, Jie; Shah, Kush; Dellepiane, Sergio; Paranjpe, Ishan; Chan, Lili; Kovatch, Patricia; Charney, Alexander W; Wang, Fei; Glicksberg, Benjamin S; Singh, Karandeep; Nadkarni, Girish N Abstract: Federated learning is a technique for training predictive models without sharing patient-level data, thus maintaining data security while…
Read MoreNon-invasive ventilation versus mechanical ventilation in hypoxemic patients with COVID-19.
Link: https://doi.org/10.1007/s15010-021-01633-6 Authors: Forrest, Iain S; Jaladanki, Suraj K; Paranjpe, Ishan; Glicksberg, Benjamin S; Nadkarni, Girish N; Do, Ron Abstract: Limited mechanical ventilators (MV) during the Coronavirus disease (COVID-19) pandemic have led to the use of non-invasive ventilation (NIV) in hypoxemic patients, which has not been studied well. We aimed to assess the association of…
Read MoreThe trans-ancestral genomic architecture of glycemic traits.
Link: https://doi.org/10.1038/s41588-021-00852-9 Authors: Chen, Ji; Spracklen, Cassandra N; Marenne, Gaëlle; Varshney, Arushi; Corbin, Laura J; Luan, Jian’an; Willems, Sara M; Wu, Ying; Zhang, Xiaoshuai; Horikoshi, Momoko; Boutin, Thibaud S; Mägi, Reedik; Waage, Johannes; Li-Gao, Ruifang; Chan, Kei Hang Katie; Yao, Jie; Anasanti, Mila D; Chu, Audrey Y; Claringbould, Annique; Heikkinen, Jani; Hong, Jaeyoung; Hottenga, Jouke-Jan;…
Read MoreImpact of institutional routine surveillance endomyocardial biopsy frequency in the first year on rejection and graft survival in pediatric heart transplantation.
Link: https://doi.org/10.1111/petr.14035 Authors: Duong, Son Q; Zhang, Yulin; Hall, Matt; Hollander, Seth A; Thurm, Cary W; Bernstein, Daniel; Feingold, Brian; Godown, Justin; Almond, Christopher Abstract: Routine surveillance biopsy (RSB) is performed to detect asymptomatic acute rejection (AR) after heart transplantation (HT). Variation in pediatric RSB across institutions is high. We examined center-based variation in RSB…
Read MoreIdentification of Distinct Clinical Subphenotypes in Critically Ill Patients With COVID-19.
Link: https://doi.org/S0012-3692(21)00874-6 Authors: Vasquez, Charles R; Gupta, Shruti; Miano, Todd A; Roche, Meaghan; Hsu, Jesse; Yang, Wei; Holena, Daniel N; Reilly, John P; Schrauben, Sarah J; Leaf, David E; Shashaty, Michael G S; , Abstract: Subphenotypes have been identified in patients with sepsis and ARDS and are associated with different outcomes and responses to therapies.…
Read MoreAssociation of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study.
Link: https://doi.org/10.1371/journal.pone.0247366 Authors: Paranjpe, Ishan; Chaudhary, Kumardeep; Johnson, Kipp W; Jaladanki, Suraj K; Zhao, Shan; De Freitas, Jessica K; Pujdas, Elisabet; Chaudhry, Fayzan; Bottinger, Erwin P; Levin, Matthew A; Fayad, Zahi A; Charney, Alexander W; Houldsworth, Jane; Cordon-Cardo, Carlos; Glicksberg, Benjamin S; Nadkarni, Girish N Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the…
Read MoreUse of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study.
Link: https://doi.org/10.2196/26107 Authors: Hirten, Robert P; Danieletto, Matteo; Tomalin, Lewis; Choi, Katie Hyewon; Zweig, Micol; Golden, Eddye; Kaur, Sparshdeep; Helmus, Drew; Biello, Anthony; Pyzik, Renata; Charney, Alexander; Miotto, Riccardo; Glicksberg, Benjamin S; Levin, Matthew; Nabeel, Ismail; Aberg, Judith; Reich, David; Charney, Dennis; Bottinger, Erwin P; Keefer, Laurie; Suarez-Farinas, Mayte; Nadkarni, Girish N; Fayad, Zahi A…
Read MoreThrombosis, 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 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 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…
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