Posts Tagged ‘Machine Learning’
A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.1101/2023.10.12.23296926 Authors: Eoli, A; Ibing, S; Schurmann, C; Nadkarni, G N; Heyne, H O; Böttinger, E Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected…
Read MoreImplications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Link: https://doi.org/10.7326/M23-0949 Authors: Vaid, Akhil; Sawant, Ashwin; Suarez-Farinas, Mayte; Lee, Juhee; Kaul, Sanjeev; Kovatch, Patricia; Freeman, Robert; Jiang, Joy; Jayaraman, Pushkala; Fayad, Zahi; Argulian, Edgar; Lerakis, Stamatios; Charney, Alexander W; Wang, Fei; Levin, Matthew; Glicksberg, Benjamin; Narula, Jagat; Hofer, Ira; Singh, Karandeep; Nadkarni, Girish N Abstract: Substantial effort has been directed toward demonstrating uses of…
Read MoreClinical Informatics in Critical Care Medicine.
Link: https://doi.org/10.59249/WTTU3055 Authors: Nadkarni, Girish N; Sakhuja, Ankit Abstract: Continuous monitoring and treatment of patients in intensive care units generates vast amounts of data. Critical Care Medicine clinicians incorporate this continuously evolving data to make split-second, life or death decisions for management of these patients. Despite the abundance of data, it can be challenging to…
Read MoreAssociation of Racial Residential Segregation With Long-Term Outcomes and Readmissions After Out-of-Hospital Cardiac Arrest Among Medicare Beneficiaries.
Link: https://doi.org/10.1161/JAHA.123.030138 Authors: Abbott, Ethan E; Buckler, David G; Hsu, Jesse Y; Abella, Benjamin S; Richardson, Lynne D; Carr, Brendan G; Zebrowski, Alexis M Abstract: Background The national impact of racial residential segregation on out-of-hospital cardiac arrest outcomes after initial resuscitation remains poorly understood. We sought to characterize the association between measures of racial and…
Read MoreDigital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.
Link: https://doi.org/10.1038/s41581-023-00744-7 Authors: Kashani, Kianoush B; Awdishu, Linda; Bagshaw, Sean M; Barreto, Erin F; Claure-Del Granado, Rolando; Evans, Barbara J; Forni, Lui G; Ghosh, Erina; Goldstein, Stuart L; Kane-Gill, Sandra L; Koola, Jejo; Koyner, Jay L; Liu, Mei; Murugan, Raghavan; Nadkarni, Girish N; Neyra, Javier A; Ninan, Jacob; Ostermann, Marlies; Pannu, Neesh; Rashidi, Parisa; Ronco,…
Read MoreTime-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.
Link: https://doi.org/10.1101/2023.07.25.23293180 Authors: Kwak, Soo Heon; Hernandez-Cancela, Ryan B; DiCorpo, Daniel A; Condon, David E; Merino, Jordi; Wu, Peitao; Brody, Jennifer A; Yao, Jie; Guo, Xiuqing; Ahmadizar, Fariba; Meyer, Mariah; Sincan, Murat; Mercader, Josep M; Lee, Sujin; Haessler, Jeffrey; Vy, Ha My T; Lin, Zhaotong; Armstrong, Nicole D; Gu, Shaopeng; Tsao, Noah L; Lange, Leslie…
Read MoreDiscrepancy between predicted and measured exercise intensity for eliciting the maximal rate of lipid oxidation.
Link: https://doi.org/S0939-4753(23)00283-1 Authors: Kittrell, Hannah D; DiMenna, Fred J; Arad, Avigdor D; Oh, Wonsuk; Hofer, Ira; Walker, Ryan W; Loos, Ruth J F; Albu, Jeanine B; Nadkarni, Girish N Abstract: Our results indicate that estimated “fat-burning” heart rate zones are inappropriate for prescribing exercise to elicit MLO and we recommend direct individual exercise lipid oxidation…
Read MoreResearching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design.
Link: https://doi.org/10.1371/journal.pone.0286297 Authors: Horwitz, Leora I; Thaweethai, Tanayott; Brosnahan, Shari B; Cicek, Mine S; Fitzgerald, Megan L; Goldman, Jason D; Hess, Rachel; Hodder, S L; Jacoby, Vanessa L; Jordan, Michael R; Krishnan, Jerry A; Laiyemo, Adeyinka O; Metz, Torri D; Nichols, Lauren; Patzer, Rachel E; Sekar, Anisha; Singer, Nora G; Stiles, Lauren E; Taylor, Barbara…
Read MoreGenome-wide association study of thoracic aortic aneurysm and dissection in the Million Veteran Program.
Link: https://doi.org/10.1038/s41588-023-01420-z Authors: Klarin, Derek; Devineni, Poornima; Sendamarai, Anoop K; Angueira, Anthony R; Graham, Sarah E; Shen, Ying H; Levin, Michael G; Pirruccello, James P; Surakka, Ida; Karnam, Purushotham R; Roychowdhury, Tanmoy; Li, Yanming; Wang, Minxian; Aragam, Krishna G; Paruchuri, Kaavya; Zuber, Verena; Shakt, Gabrielle E; Tsao, Noah L; Judy, Renae L; Vy, Ha My…
Read MoreEvaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.
Link: https://doi.org/S0272-6386(23)00648-0 Authors: Menez, Steven; Coca, Steven G; Moledina, Dennis G; Wen, Yumeng; Chan, Lili; Thiessen-Philbrook, Heather; Obeid, Wassim; Garibaldi, Brian T; Azeloglu, Evren U; Ugwuowo, Ugochukwu; Sperati, C John; Arend, Lois J; Rosenberg, Avi Z; Kaushal, Madhurima; Jain, Sanjay; Wilson, F Perry; Parikh, Chirag R; , Abstract: Patients hospitalized with COVID-19 are at increased…
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