Výsledky vyhledávání - "Gyorgy, Simon"

Akademický článek

Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model.

Autor: Jia Li, Gyorgy Simon, M Regina Castro, Vipin Kumar, Michael S Steinbach, Pedro J Caraballo

Publikováno v: PLoS ONE, Vol 16, Iss 7, p e0253696 (2021)

ObjectiveThe association of body mass index (BMI) and all-cause mortality is controversial, frequently referred to as a paradox. Whether the cause is metabolic factors or statistical biases is still controversial. We assessed the association of BMI a

Externí odkaz: https://doaj.org/article/bf0355c87f9e4d1c93bc4cd21c5b7157

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Patient Heterogeneity and the J-Curve Relationship Between Time-to-Antibiotics and the Outcomes of Patients Admitted With Bacterial Infection*

Autor: Michael G. Usher, Roshan Tourani, Ben Webber, Christopher J. Tignanelli, Sisi Ma, Lisiane Pruinelli, Michael Rhodes, Nishant Sahni, Andrew P. J. Olson, Genevieve B. Melton, Gyorgy Simon

Publikováno v: Critical Care Medicine. 50:799-809

Sepsis remains a leading and preventable cause of hospital utilization and mortality in the United States. Despite updated guidelines, the optimal definition of sepsis as well as optimal timing of bundled treatment remain uncertain. Identifying patie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98429836b89adc6f27e183c8c9182ca6
https://doi.org/10.1097/ccm.0000000000005429

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Strategies for building robust prediction models using data unavailable at prediction time

Autor: Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B Melton, Michael Steinbach, Gyorgy Simon

Publikováno v: J Am Med Inform Assoc

Objective Hospital-acquired infections (HAIs) are associated with significant morbidity, mortality, and prolonged hospital length of stay. Risk prediction models based on pre- and intraoperative data have been proposed to assess the risk of HAIs at t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7202b035ed734982bd06ce96e4999384
https://doi.org/10.1093/jamia/ocab229

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Validation of Administrative Coding and Clinical Notes for Hospital-Acquired Acute Kidney Injury in Adults

Autor: Jianqiu, Zhang, Paul E, Drawz, Ying, Zhu, Gretchen, Hultman, Gyorgy, Simon, Genevieve B, Melton

Publikováno v: AMIA Annu Symp Proc

Acute kidney injury (AKI) is potentially catastrophic and commonly seen among inpatients. In the United States, the quality of administrative coding data for capturing AKI accurately is questionable and needs to be updated. This retrospective study v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::3689785f00b2e7fedfe4daf2e256df02
https://pubmed.ncbi.nlm.nih.gov/35308921

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Akademický článek

Multi-platform analysis of microRNA expression measurements in RNA from fresh frozen and FFPE tissues.

Autor: Christopher P Kolbert, Rod M Feddersen, Fariborz Rakhshan, Diane E Grill, Gyorgy Simon, Sumit Middha, Jin Sung Jang, Vernadette Simon, Debra A Schultz, Michael Zschunke, Wilma Lingle, Jennifer M Carr, E Aubrey Thompson, Ann L Oberg, Bruce W Eckloff, Eric D Wieben, Peter Li, Ping Yang, Jin Jen

Publikováno v: PLoS ONE, Vol 8, Iss 1, p e52517 (2013)

MicroRNAs play a role in regulating diverse biological processes and have considerable utility as molecular markers for diagnosis and monitoring of human disease. Several technologies are available commercially for measuring microRNA expression. Howe

Externí odkaz: https://doaj.org/article/480eb320a2554b57b342ba15227257ae

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Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event

Autor: Lisiane Pruinelli, Gyorgy Simon, Thomas J. O'Byrne, Michael Steinbach, Pedro J. Caraballo, Che Ngufor, Nilay Shah, David C. Chen

Publikováno v: JAMA Network Open

Key Points Question Does incorporating clinical domain knowledge regarding diseases, disease severity, and treatment pathways into machine learning improve risk stratification? Findings In this retrospective cohort study involving 51 969 patients, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b6035206ccb83616b8a2c4ec0bff76
https://pubmed.ncbi.nlm.nih.gov/32678448

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