Articles with "predicting postoperative" as a keyword



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Predicting postoperative complications in pediatric surgery: A novel pediatric comorbidity index.

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Published in 2022 at "Journal of pediatric urology"

DOI: 10.1016/j.jpurol.2022.03.007

Abstract: INTRODUCTION/BACKGROUND Comorbidity-driven surgical risk assessment is essential for informed patient counseling, risk-stratification, and outcomes-based health-services research. Existing mortality-focused comorbidity indices have had mixed success at risk-adjustment in children. OBJECTIVE To develop a new comorbidity-driven multispecialty… read more here.

Keywords: postoperative complications; predicting postoperative; comorbidity; risk ... See more keywords
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HO-1: a new marker for predicting postoperative recurrence of CRSwNP

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Published in 2023 at "Acta Oto-Laryngologica"

DOI: 10.1080/00016489.2023.2168054

Abstract: Abstract Background Chronic rhinosinusitis with polyps (CRSwNP) is a subtype of chronic rhinosinusitis and is highly prone to recurrence; therefore, it is urgent to find appropriate markers to predict recurrence of CRSwNP after surgery. Purpose… read more here.

Keywords: recurrence crswnp; marker; predicting postoperative; recurrence ... See more keywords
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MP63-06 PREDICTING THE POSTOPERATIVE OUTCOME OF PERCUTANEOUS NEPHROLITHOTOMY WITH MACHINE LEARNING SYSTEM: SOFTWARE VALIDATION AND COMPARATIVE ANALYSIS WITH GUY’S STONE SCORE AND THE CROES NOMOGRAM

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Published in 2020 at "Journal of Urology"

DOI: 10.1097/ju.0000000000000938.06

Abstract: INTRODUCTION AND OBJECTIVE:To validate the output of a machine learning-based software as an intelligible interface for predicting multiple outcomes after percutaneous nephrolithotomy (PCNL). We co... read more here.

Keywords: predicting postoperative; percutaneous nephrolithotomy; mp63 predicting; software ... See more keywords
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Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record Data.

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Published in 2023 at "Studies in health technology and informatics"

DOI: 10.3233/shti230134

Abstract: Identification of postoperative infections based on retrospective patient data is currently done using manual chart review. We used a validated, automated labelling method based on registrations and treatments to develop a high-quality prediction model (AUC… read more here.

Keywords: based readily; health; identifying predicting; infections based ... See more keywords