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Shannon Wongvibulsin
Researcher at Johns Hopkins University School of Medicine
Publications - 37
Citations - 568
Shannon Wongvibulsin is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Medicine & Health care. The author has an hindex of 7, co-authored 31 publications receiving 157 citations. Previous affiliations of Shannon Wongvibulsin include Harvard University & Johns Hopkins University.
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Journal ArticleDOI
Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis.
TL;DR: RF-SLAM is a novel statistical and machine learning method that improves risk prediction by incorporating time-varying information and accommodating a large number of predictors, their interactions, and missing values, and demonstrates superior performance relative to standard random forest methods for survival data.
Journal ArticleDOI
Digital Health Interventions for Cardiac Rehabilitation: Systematic Literature Review
Shannon Wongvibulsin,Evagelia E Habeos,Pauline P. Huynh,Helen Xun,Rongzi Shan,Kori A. Porosnicu Rodriguez,Jane Wang,Yousuf K Gandapur,Ngozi Osuji,Lochan M Shah,Erin M. Spaulding,George Hung,Kellen Knowles,William E Yang,Francoise A Marvel,Eleanor Levin,David J. Maron,Neil F Gordon,Seth S. Martin +18 more
TL;DR: Digital technologies have the potential to increase access and participation in CR by mitigating the challenges associated with traditional, facility-based CR, however, previously evaluated interventions primarily focused on physical activity counseling and exercise training.
Journal ArticleDOI
Development of Severe COVID-19 Adaptive Risk Predictor (SCARP), a Calculator to Predict Severe Disease or Death in Hospitalized Patients With COVID-19.
Shannon Wongvibulsin,Brian T. Garibaldi,Annukka A.R. Antar,Jiyang Wen,Mei Cheng Wang,Amita Gupta,Robert C. Bollinger,Yanxun Xu,Kunbo Wang,Joshua Betz,John Muschelli,Karen Bandeen-Roche,Scott L. Zeger,Matthew L Robinson +13 more
TL;DR: The Severe COVID-19 Adaptive Risk Predictor (SCARP) as mentioned in this paper was developed to predict the 1-day and 7-day risks for progression to severe disease or death for any given day during the first 14 days of hospitalization.
Journal ArticleDOI
Prurigo Nodularis Is Characterized by Systemic and Cutaneous T Helper 22 Immune Polarization
Micah Belzberg,Martin P. Alphonse,Isabelle D. Brown,Kyle A. Williams,Raveena Khanna,Byron Ho,Shannon Wongvibulsin,Thomas Pritchard,Youkyung S. Roh,Nishadh Sutaria,Justin Choi,Jaroslaw Jedrych,Andrew D. Johnston,Kakali Sarkar,Chirag Vasavda,James Meixiong,Carly A. Dillen,Kent Bondesgaard,John F. Paolini,Wei Chen,David L. Corcoran,Nicolas Devos,Madan M. Kwatra,Anna L. Chien,Nathan K. Archer,Luis A. Garza,Xinzhong Dong,Sewon Kang,Shawn G. Kwatra +28 more
TL;DR: In this article, the authors found that both systemic and cutaneous immune responses in patients with PN are skewed toward a Th22/IL-22 profile, indicating that PN may benefit from immunomodulatory therapies directed at Th22-mediated inflammation.
Journal ArticleDOI
Epidemiology and risk factors for the development of cutaneous toxicities in patients treated with immune-checkpoint inhibitors: A United States population-level analysis
Shannon Wongvibulsin,Shannon Wongvibulsin,Vartan Pahalyants,Mark Kalinich,William Murphy,Kun-Hsing Yu,Kun-Hsing Yu,Feicheng Wang,Steven T. Chen,Kerry L. Reynolds,Shawn G. Kwatra,Shawn G. Kwatra,Yevgeniy R. Semenov +12 more
TL;DR: In this paper, the cumulative incidence, distribution, and risk factors of cutaneous irAEs after ICI initiation were determined for patients with melanoma and renal cell carcinoma.