Posts by Amir Safavi
Application of Natural Language Processing in Nephrology Research.
Link: https://doi.org/10.2215/CJN.0000000000000118 Authors: Farrell, Douglas; Chan, Lili Abstract:
Read MoreEvaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.
Link: https://doi.org/10.1038/s41598-023-27481-y Authors: Pacheco, Jennifer A; Rasmussen, Luke V; Wiley, Ken; Person, Thomas Nate; Cronkite, David J; Sohn, Sunghwan; Murphy, Shawn; Gundelach, Justin H; Gainer, Vivian; Castro, Victor M; Liu, Cong; Mentch, Frank; Lingren, Todd; Sundaresan, Agnes S; Eickelberg, Garrett; Willis, Valerie; Furmanchuk, Al’ona; Patel, Roshan; Carrell, David S; Deng, Yu; Walton, Nephi; Satterfield, Benjamin…
Read MoreThe Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts.
Link: https://doi.org/10.1681/ASN.0000000000000050 Authors: Grams, Morgan E; Brunskill, Nigel J; Ballew, Shoshana H; Sang, Yingying; Coresh, Josef; Matsushita, Kunihiro; Surapaneni, Aditya; Bell, Samira; Carrero, Juan J; Chodick, Gabriel; Evans, Marie; Heerspink, Hiddo J L; Inker, Lesley A; Iseki, Kunitoshi; Kalra, Philip A; Kirchner, H Lester; Lee, Brian J; Levin, Adeera; Major, Rupert W; Medcalf, James; Nadkarni,…
Read MoreNormative Femoral and Tibial Lengths in a Modern Population of Twenty-First-Century U.S. Children.
Link: https://doi.org/10.2106/JBJS.22.00690 Authors: Chen, Chunho; Milbrandt, Todd A; Babadi, Elham; Duong, Stephanie Q; Larson, Dirk R; Shaughnessy, William J; Stans, Anthony A; Hull, Nathan C; Peterson, Hamlet A; Larson, A Noelle Abstract: The Green-Anderson (GA) leg-length data remain the gold standard for the age-based assessment of leg lengths in children despite their methodologic weaknesses. We…
Read MoreMachine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.
Link: https://doi.org/S0140-6736(22)02079-7 Authors: Forrest, Iain S; Petrazzini, Ben O; Duffy, Áine; Park, Joshua K; Marquez-Luna, Carla; Jordan, Daniel M; Rocheleau, Ghislain; Cho, Judy H; Rosenson, Robert S; Narula, Jagat; Nadkarni, Girish N; Do, Ron Abstract: Binary diagnosis of coronary artery disease does not preserve the complexity of disease or quantify its severity or its associated…
Read MoreAutoencoders for sample size estimation for fully connected neural network classifiers.
Link: https://doi.org/10.1038/s41746-022-00728-0 Authors: Gulamali, Faris F; Sawant, Ashwin S; Kovatch, Patricia; Glicksberg, Benjamin; Charney, Alexander; Nadkarni, Girish N; Oermann, Eric Abstract: Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning. Currently, estimating the quantity of labeled data needed to train a classifier to a desired…
Read MoreCannabis Use and CKD: Epidemiological Associations and Mendelian Randomization.
Link: https://doi.org/10.1016/j.xkme.2022.100582 Authors: Dellepiane, Sergio; Paranjpe, Ishan; Rajagopal, Madhumitha; Kamat, Samir; O’Hagan, Ross; Gulamali, Faris; Rein, Joshua L; Charney, Alexander W; Do, Ron; Coca, Steven; Glicksberg, Benjamin S; Nadkarni, Girish N Abstract: The association between cannabis use and chronic kidney disease (CKD) is controversial. We aimed to assess association of CKD with cannabis use in…
Read MoreMolecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae.
Link: https://doi.org/10.1038/s41591-022-02107-4 Authors: Thompson, Ryan C; Simons, Nicole W; Wilkins, Lillian; Cheng, Esther; Del Valle, Diane Marie; Hoffman, Gabriel E; Cervia, Carlo; Fennessy, Brian; Mouskas, Konstantinos; Francoeur, Nancy J; Johnson, Jessica S; Lepow, Lauren; Le Berichel, Jessica; Chang, Christie; Beckmann, Aviva G; Wang, Ying-Chih; Nie, Kai; Zaki, Nicholas; Tuballes, Kevin; Barcessat, Vanessa; Cedillo, Mario A;…
Read MoreArtificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury.
Link: https://doi.org/S2949-8139(22)00001-5 Authors: Takkavatakarn, Kullaya; Hofer, Ira S Abstract: Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic procedures, and has a significant impact on morbidity and mortality. Early identification of high-risk patients and providing effective prevention and therapeutic approach are the main strategies for reducing the possibility…
Read MoreGeneralizability of an acute kidney injury prediction model across health systems.
Link: https://doi.org/10.1038/s42256-022-00563-8 Authors: Cao, Jie; Zhang, Xiaosong; Shahinian, Vahakn; Yin, Huiying; Steffick, Diane; Saran, Rajiv; Crowley, Susan; Mathis, Michael; Nadkarni, Girish N; Heung, Michael; Singh, Karandeep Abstract:
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