Výsledky vyhledávání - "Rushmin Khazanchi"

Akademický článek

Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

Autor: Hassan M. K. Ghomrawi, Megan K. O’Brien, Michela Carter, Rebecca Macaluso, Rushmin Khazanchi, Michael Fanton, Christopher DeBoer, Samuel C. Linton, Suhail Zeineddin, J. Benjamin Pitt, Megan Bouchard, Angie Figueroa, Soyang Kwon, Jane L. Holl, Arun Jayaraman, Fizan Abdullah

Publikováno v: npj Digital Medicine, Vol 6, Iss 1, Pp 1-12 (2023)

Abstract When children are discharged from the hospital after surgery, their caregivers often rely on subjective assessments (e.g., appetite, fatigue) to monitor postoperative recovery as objective assessment tools are scarce at home. Such imprecise

Externí odkaz: https://doaj.org/article/a2d31abe72bc4e91ac9a0c45ff1d379e

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Akademický článek

Changes in the Demographic Distribution of Chicago Gun-Homicide Decedents From 2015-2021: Violent Death Surveillance Cross-sectional Study

Autor: Maryann Mason, Rushmin Khazanchi, Audrey Brewer, Karen Sheehan, Yingxuan Liu, Lori Post

Publikováno v: JMIR Public Health and Surveillance, Vol 9, p e43723 (2023)

BackgroundHomicide is one of the 5 leading causes of death in the United States for persons aged 1 to 44 years. In 2019, 75% of US homicides were by gun. Chicago has a gun-homicide rate 4 times the national average, and 90% of all homicides are by gu

Externí odkaz: https://doaj.org/article/7b00790fd4a14a29b4abc0e943c5bab7

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Akademický článek

Wearable Sensors Improve Prediction of Post-Stroke Walking Function Following Inpatient Rehabilitation

Autor: Megan K. O'Brien, Sung Y. Shin, Rushmin Khazanchi, Michael Fanton, Richard L. Lieber, Roozbeh Ghaffari, John A. Rogers, Arun Jayaraman

Publikováno v: IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-11 (2022)

Objective: A primary goal of acute stroke rehabilitation is to maximize functional recovery and help patients reintegrate safely in the home and community. However, not all patients have the same potential for recovery, making it difficult to set rea

Externí odkaz: https://doaj.org/article/5eec4f595284471cbafb00e79877014c

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Akademický článek

SP43. Preoperative Lab Values Are Predictive of Postoperative Outcomes in Cranioplasty: A Receiver Operating Characteristic Curve Approach

Autor: Anitesh Bajaj, BS, Rushmin Khazanchi, BA, Arun K. Gosain, MD

Publikováno v: Plastic and Reconstructive Surgery, Global Open, Vol 11, Iss 5S, Pp 147-147 (2023)

Externí odkaz: https://doaj.org/article/1e1d6eafd0d24e4bac44692a1c47d46e

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Akademický článek

D164. Identifying Independent Predictors of Postoperative Morbidity in Patients Undergoing Cranioplasty: A NSQIP Analysis

Autor: Anitesh Bajaj, BS, Rushmin Khazanchi, BA, Joshua P. Weissman, BBA, Arun K. Gosain, MD

Publikováno v: Plastic and Reconstructive Surgery, Global Open, Vol 11, Iss 4S, Pp 138-138 (2023)

Externí odkaz: https://doaj.org/article/ed753e56e807465ba052afb624b65b35

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Abstract WMP27: Augmenting Early Prediction Of Post-Rehabilitation Ambulation Ability And Risk Of Falling Status For Recovering Stroke Patients Using Wearable Sensors And Machine Learning

Autor: Rushmin Khazanchi, Francesco Lanotte, Megan O'Brien, Arun Jayaraman

Publikováno v: Stroke. 54

Introduction: Inertial measurement units (IMU) can capture objective biomarkers of recovery during everyday activity paving the way to early prognosis and personalized therapy in post-stroke rehabilitation. In this study, we evaluated the performance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::245185de03eb8633d772ba1ea2f6fc31
https://doi.org/10.1161/str.54.suppl_1.wmp27

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