Posts Tagged ‘Machine Learning’
Identification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model.
Link: https://doi.org/10.1371/journal.pone.0260885 Authors: Duong, Son Q; Zheng, Le; Xia, Minjie; Jin, Bo; Liu, Modi; Li, Zhen; Hao, Shiying; Alfreds, Shaun T; Sylvester, Karl G; Widen, Eric; Teuteberg, Jeffery J; McElhinney, Doff B; Ling, Xuefeng B Abstract: New-onset heart failure (HF) is associated with poor prognosis and high healthcare utilization. Early identification of patients at increased…
Read MoreArtificial Intelligence for AKI!Now: Let’s Not Await Plato’s Utopian Republic.
Link: https://doi.org/10.34067/KID.0003472021 Authors: Soranno, Danielle E; Bihorac, Azra; Goldstein, Stuart L; Kashani, Kianoush B; Menon, Shina; Nadkarni, Girish N; Neyra, Javier A; Pannu, Neesh I; Singh, Karandeep; Cerda, Jorge; Koyner, Jay L; , Abstract:
Read MoreDerivation and Validation of Genome-Wide Polygenic Score for Ischemic Heart Failure.
Link: https://doi.org/10.1161/JAHA.121.021916 Authors: Paranjpe, Ishan; Tsao, Noah L; De Freitas, Jessica K; Judy, Renae; Chaudhary, Kumardeep; Forrest, Iain S; Jaladanki, Suraj K; Paranjpe, Manish; Sharma, Pranav; , ; , ; Glicksberg, Benjamin S; Narula, Jagat; Do, Ron; Damrauer, Scott M; Nadkarni, Girish N Abstract:
Read MoreThe Association between Prevalence of Peritoneal Dialysis versus Hemodialysis and Patients’ Distance to Dialysis-Providing Facilities.
Link: https://doi.org/10.34067/KID.0004762021 Authors: Pattharanitima, Pattharawin; El Shamy, Osama; Chauhan, Kinsuk; Saha, Aparna; Wen, Huei Hsun; Sharma, Shuchita; Uribarri, Jaime; Chan, Lili Abstract: Accessibility to dialysis facilities plays a central role when deciding on a patient’s long-term dialysis modality. Studies investigating the effect of distance to nearest dialysis-providing unit on modality choice have yielded conflicting results.…
Read MorePrognostic value of polygenic risk scores for adults with psychosis.
Link: https://doi.org/10.1038/s41591-021-01475-7 Authors: Landi, Isotta; Kaji, Deepak A; Cotter, Liam; Van Vleck, Tielman; Belbin, Gillian; Preuss, Michael; Loos, Ruth J F; Kenny, Eimear; Glicksberg, Benjamin S; Beckmann, Noam D; O’Reilly, Paul; Schadt, Eric E; Achtyes, Eric D; Buckley, Peter F; Lehrer, Douglas; Malaspina, Dolores P; McCarroll, Steven A; Rapaport, Mark H; Fanous, Ayman H; Pato,…
Read MorePhe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.
Link: https://doi.org/10.1016/j.patter.2021.100337 Authors: De Freitas, Jessica K; Johnson, Kipp W; Golden, Eddye; Nadkarni, Girish N; Dudley, Joel T; Bottinger, Erwin P; Glicksberg, Benjamin S; Miotto, Riccardo Abstract: Robust phenotyping of patients from electronic health records (EHRs) at scale is a challenge in clinical informatics. Here, we introduce Phe2vec, an automated framework for disease phenotyping from…
Read MoreMachine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019.
Link: https://doi.org/10.1097/CCE.0000000000000515 Authors: Churpek, Matthew M; Gupta, Shruti; Spicer, Alexandra B; Hayek, Salim S; Srivastava, Anand; Chan, Lili; Melamed, Michal L; Brenner, Samantha K; Radbel, Jared; Madhani-Lovely, Farah; Bhatraju, Pavan K; Bansal, Anip; Green, Adam; Goyal, Nitender; Shaefi, Shahzad; Parikh, Chirag R; Semler, Matthew W; Leaf, David E; , Abstract: Critically ill patients with coronavirus…
Read MoreDevelopment and validation of techniques for phenotyping ST-elevation myocardial infarction encounters from electronic health records.
Link: https://doi.org/10.1093/jamiaopen/ooab068 Authors: Somani, Sulaiman; Yoffie, Stephen; Teng, Shelly; Havaldar, Shreyas; Nadkarni, Girish N; Zhao, Shan; Glicksberg, Benjamin S Abstract: Classifying hospital admissions into various acute myocardial infarction phenotypes in electronic health records (EHRs) is a challenging task with strong research implications that remains unsolved. To our knowledge, this study is the first study to…
Read MoreAlbuminuria Testing in Hypertension and Diabetes: An Individual-Participant Data Meta-Analysis in a Global Consortium.
Link: https://doi.org/10.1161/HYPERTENSIONAHA.121.17323 Authors: Shin, Jung-Im; Chang, Alex R; Grams, Morgan E; Coresh, Josef; Ballew, Shoshana H; Surapaneni, Aditya; Matsushita, Kunihiro; Bilo, Henk J G; Carrero, Juan J; Chodick, Gabriel; Daratha, Kenn B; Jassal, Simerjot K; Nadkarni, Girish N; Nelson, Robert G; Nowak, Christoph; Stempniewicz, Nikita; Sumida, Keiichi; Traynor, Jamie P; Woodward, Mark; Sang, Yingying; Gansevoort,…
Read MorePerformance of crisis standards of care guidelines in a cohort of critically ill COVID-19 patients in the United States.
Link: https://doi.org/10.1016/j.xcrm.2021.100376 Authors: Jezmir, Julia L; Bharadwaj, Maheetha; Chaitoff, Alexander; Diephuis, Bradford; Crowley, Conor P; Kishore, Sandeep P; Goralnick, Eric; Merriam, Louis T; Milliken, Aimee; Rhee, Chanu; Sadovnikoff, Nicholas; Shah, Sejal B; Gupta, Shruti; Leaf, David E; Feldman, William B; Kim, Edy Y; , Abstract: Many US states published crisis standards of care (CSC) guidelines…
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