Výsledky vyhledávání - "Rohit, Tejwani"

Akademický článek

Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity

Autor: Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin A. Goldstein

Publikováno v: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-10 (2022)

Abstract Background Clinical decision support (CDS) tools built using adult data do not typically perform well for children. We explored how best to leverage adult data to improve the performance of such tools. This study assesses whether it is bette

Externí odkaz: https://doaj.org/article/1a594642446e4d409a16c56266a1204f

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The Importance of Early Diagnosis and Management of Pediatric Neurogenic Bladder Dysfunction

Autor: J. Todd Purves, John S. Wiener, Madison K. Krischak, Rohit Tejwani, K Tyler Hobbs, Jonathan C. Routh

Publikováno v: Research and Reports in Urology

Neurogenic bladder dysfunction is a major source of urologic morbidity in children, especially in those with spina bifida (SB). Complications from progression of bladder dysfunction can include urinary tract infections (UTIs), urinary incontinence, u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42e5fa9cb79477e69983f4758f135bb
https://doi.org/10.2147/rru.s259307

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Financial toxicity among individuals with spina bifida and their families: A qualitative study and conceptual model

Autor: Leonid I. Aksenov, Rebecca J. Fairchild, Kevin T. Hobbs, Rohit Tejwani, John S. Wiener, Jonathan C. Routh

Publikováno v: Journal of pediatric urology. 18(3)

Spina bifida is the most common permanently disabling birth defect in the United States and requires lifelong, multi-specialty care. The cost of such care has the potential to result in financial toxicity - the 'objective financial burden' and 'subje

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34e51184cba2381e9ee7be9438e9a6d3
https://pubmed.ncbi.nlm.nih.gov/35410804

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Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity

Autor: Paul, Sabharwal, Jillian H, Hurst, Rohit, Tejwani, Kevin T, Hobbs, Jonathan C, Routh, Benjamin A, Goldstein

Publikováno v: BMC medical informatics and decision making. 22(1)

Clinical decision support (CDS) tools built using adult data do not typically perform well for children. We explored how best to leverage adult data to improve the performance of such tools. This study assesses whether it is better to build CDS tools

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::f20940d470a1c658e09a4f6abb225474
https://pubmed.ncbi.nlm.nih.gov/35549699

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PD38-01 PREDICTING POSTOPERATIVE COMPLICATIONS IN PEDIATRIC SURGERY: A NOVEL COMORBIDITY INDEX FOR PATIENT RISK STRATIFICATION

Autor: Jonathan C. Routh, Kevin T. Hobbs, Hui-Jie Lee, Rohit Tejwani, Charles D. Scales, Taylor L. Hughes

Publikováno v: Journal of Urology. 206

INTRODUCTION AND OBJECTIVE:Preoperative comorbidity influences postoperative outcomes. Comorbidity-driven surgical risk assessment is essential for informed counseling, risk stratification, and cli...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58e0062f485403b1519aa6bf6a93d478
https://doi.org/10.1097/ju.0000000000002048.01

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