Posts Tagged ‘Machine Learning’
A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort.
Link: https://doi.org/10.1093/jamiaopen/ooad029 Authors: Hirten, Robert P; Suprun, Maria; Danieletto, Matteo; Zweig, Micol; Golden, Eddye; Pyzik, Renata; Kaur, Sparshdeep; Helmus, Drew; Biello, Anthony; Landell, Kyle; Rodrigues, Jovita; Bottinger, Erwin P; Keefer, Laurie; Charney, Dennis; Nadkarni, Girish N; Suarez-Farinas, Mayte; Fayad, Zahi A Abstract: To assess whether an individual’s degree of psychological resilience can be determined from…
Read MoreA machine learning model identifies patients in need of autoimmune disease testing using electronic health records.
Link: https://doi.org/10.1038/s41467-023-37996-7 Authors: Forrest, Iain S; Petrazzini, Ben O; Duffy, Áine; Park, Joshua K; O’Neal, Anya J; Jordan, Daniel M; Rocheleau, Ghislain; Nadkarni, Girish N; Cho, Judy H; Blazer, Ashira D; Do, Ron Abstract: Systemic autoimmune rheumatic diseases (SARDs) can lead to irreversible damage if left untreated, yet these patients often endure long diagnostic journeys…
Read MoreRandomized Trial of Anticoagulation Strategies for Noncritically Ill Patients Hospitalized With COVID-19.
Link: https://doi.org/S0735-1097(23)04527-8 Authors: Stone, Gregg W; Farkouh, Michael E; Lala, Anuradha; Tinuoye, Elizabeth; Dressler, Ovidiu; Moreno, Pedro R; Palacios, Igor F; Goodman, Shaun G; Esper, Rodrigo B; Abizaid, Alexandre; Varade, Deepak; Betancur, Juan F; Ricalde, Alejandro; Payro, Gerardo; Castellano, José María; Hung, Ivan F N; Nadkarni, Girish N; Giustino, Gennaro; Godoy, Lucas C; Feinman, Jason;…
Read MoreTrends of Acute Kidney Injury Requiring Dialysis Among Hospitalized Patients Undergoing Invasive Electrophysiology Procedures.
Link: https://doi.org/10.1097/HPC.0000000000000214 Authors: Wen, Yumeng; Hosseini Dehkordi, Seyed Hamed; Wei, Xin; Lucas, Claire Huang; Paranjpe, Ishan; Yan, Dexi; Gholitabar, Farid; Mehta, Davendra; Chan, Lili; Meisels, Ira Abstract: Electrophysiology (EP) procedures carry the risk of kidney injury due to contrast/hemodynamic fluctuations. We aim to evaluate the national epidemiology of acute kidney injury requiring dialysis (AKI-D) in…
Read MorePotential kidney toxicity from the antiviral drug tenofovir: new indications, new formulations, and a new prodrug.
Link: https://doi.org/10.1097/MNH.0000000000000392 Authors: Chan, Lili; Asriel, Benjamin; Eaton, Ellen F; Wyatt, Christina M Abstract: The antiviral agent tenofovir is highly effective for the treatment of HIV and hepatitis B virus infections, and the older prodrug tenofovir disoproxil fumarate (TDF) is also a component of daily preexposure prophylaxis (PrEP) to reduce the risk of HIV infection…
Read MoreApplications of machine learning methods in kidney disease: hope or hype?
Link: https://doi.org/10.1097/MNH.0000000000000604 Authors: Chan, Lili; Vaid, Akhil; Nadkarni, Girish N Abstract: The universal adoption of electronic health records, improvement in technology, and the availability of continuous monitoring has generated large quantities of healthcare data. Machine learning is increasingly adopted by nephrology researchers to analyze this data in order to improve the care of their patients.…
Read MoreAnesthesia Informatics Grows Up.
Link: https://doi.org/10.1213/ANE.0000000000003431 Authors: Hofer, Ira S; Levin, Matthew A; Simpao, Allan F; McCormick, Patrick J; Rothman, Brian S Abstract:
Read MoreProne Positioning and Survival in Mechanically Ventilated Patients With Coronavirus Disease 2019-Related Respiratory Failure.
Link: https://doi.org/10.1097/CCM.0000000000004938 Authors: Mathews, Kusum S; Soh, Howard; Shaefi, Shahzad; Wang, Wei; Bose, Sonali; Coca, Steven; Gupta, Shruti; Hayek, Salim S; Srivastava, Anand; Brenner, Samantha K; Radbel, Jared; Green, Adam; Sutherland, Anne; Leonberg-Yoo, Amanda; Shehata, Alexandre; Schenck, Edward J; Short, Samuel A P; Hernán, Miguel A; Chan, Lili; Leaf, David E; , Abstract: Therapies for…
Read MoreHospital-Level Variation in Death for Critically Ill Patients with COVID-19.
Link: https://doi.org/10.1164/rccm.202012-4547OC Authors: Churpek, Matthew M; Gupta, Shruti; Spicer, Alexandra B; Parker, William F; Fahrenbach, John; Brenner, Samantha K; Leaf, David E; , Abstract: Variation in hospital mortality has been described for coronavirus disease 2019 (COVID-19), but the factors that explain these differences remain unclear. Our objective was to utilize a large, nationally representative dataset…
Read MoreEvaluation and management of COVID-19-related severity in people with type 2 diabetes.
Link: https://doi.org/10.1136/bmjdrc-2021-002299 Authors: Wang, Bowen; Glicksberg, Benjamin S; Nadkarni, Girish N; Vashishth, Deepak Abstract: People with type 2 diabetes (T2D) have an increased rate of hospitalization and mortality related to COVID-19. To identify ahead of time those who are at risk of developing severe diseases and potentially in need of intensive care, we investigated the…
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