Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Bhumi Patel

Biographic Data

ID4720493
NAMEBhumi Patel
GIVEN NAMESBhumi
FAMILY NAMEPatel
SIGNATUREPATEL B
AFFILIATIONSThe Ohio State University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS30
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Queer, Brown Dancing Bodies in a White Cube

    Open Access•Bhumi Patel•ARTICLE•Performance Research•2023

    I sit in a theatre in San Francisco in December 2021 feeling a palpable anticipation in the air. As Gerald Casel performs a choreographic accumulation to TLC's ‘Waterfalls', my body remembers learning Accumulation in dance history class. Indeed, words are soon projected on the back wall: ‘I am performing an accumulated sequence'; ‘It's an adaptation of Trisha Brown's choreographic device'; ‘She made a dance entitled ‘Accumulation' in 1971'. This …

  • Highlighting Covid-19 racial disparities can reduce support for safety precautions among White U.S. residents

    Open Access•Allison L Skinner, Allison L Skinner-Dorkenoo et al.•ARTICLE•Social Science & Medicine•2022•Cited by: 30•References: 5

  • Identification of Variable Importance for Predictions of Mortality From Covid-19 Using AI Models for Ontario, Canada

    Open Access•Brett Snider, Edward A Mcbean et al.•ARTICLE•Frontiers in Public Health•2021

    The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical systems to the brink of collapse around the globe. In this paper, logistic regression and three other artificial intelligence models (XGBoost, Artificial Neural Network and Random Forest) are described and used to predict mortality risk of individual patients. The database is based on census data for the designated area and co-morbidities obtained using data from …

  • Highlighting Covid-19 racial disparities can reduce support for safety precautions among White U.S. residents

    Open Access•Allison L Skinner, Allison L Skinner-Dorkenoo et al.•ARTICLE•Social Science & Medicine•2022•Cited by: 30•References: 5

  • Identification of Variable Importance for Predictions of Mortality From Covid-19 Using AI Models for Ontario, Canada

    Open Access•Brett Snider, Edward A Mcbean et al.•ARTICLE•Frontiers in Public Health•2021

    The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical systems to the brink of collapse around the globe. In this paper, logistic regression and three other artificial intelligence models (XGBoost, Artificial Neural Network and Random Forest) are described and used to predict mortality risk of individual patients. The database is based on census data for the designated area and co-morbidities obtained using data from …

  • Highlighting Covid-19 racial disparities can reduce support for safety precautions among White U.S. residents

    Open Access•Allison L Skinner, Allison L Skinner-Dorkenoo et al.•ARTICLE•Social Science & Medicine•2022•Cited by: 30•References: 5

  • Queer, Brown Dancing Bodies in a White Cube

    Open Access•Bhumi Patel•ARTICLE•Performance Research•2023

    I sit in a theatre in San Francisco in December 2021 feeling a palpable anticipation in the air. As Gerald Casel performs a choreographic accumulation to TLC's ‘Waterfalls', my body remembers learning Accumulation in dance history class. Indeed, words are soon projected on the back wall: ‘I am performing an accumulated sequence'; ‘It's an adaptation of Trisha Brown's choreographic device'; ‘She made a dance entitled ‘Accumulation' in 1971'. This …

Medicine (2 works) · Psychology (2 works) · Public health (2 works) · 2019-20 coronavirus outbreak (1 work) · Art (1 work) · Art history (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Behavioral Health and Interventions (1 work) · Biology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae