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Brian W Patterson

Biographic Data

ID5545223
NAMEBrian W Patterson
GIVEN NAMESBrian W
FAMILY NAMEPatterson
SIGNATUREPATTERSON B W
AFFILIATIONSUniversity of Wisconsin–Madison
ORCID0000-0002-4584-3808
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2020
H-INDEX0
  • The Average Effect of Emergency Department Admission on Readmission and Mortality for Older Adults With Chest Pain

    Sebastian Alejandro Alvarez Avendano, Amy L Cochran et al.•ARTICLE•Medical Care•2020•References: 51

    BACKGROUND: Many older adults (65+) present to the Emergency Department (ED) with chest pain, but do not have otherwise clear clinical indication of whether they should be admitted or discharged. This uncertainty leads to decisions that are highly variable-in addition to already being costly-which could have adverse consequences, since older adults are particularly vulnerable from hospitalization. OBJECTIVE: The objective of this study was to det…

  • Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits

    Brian W Patterson, Collin J Engstrom et al.•ARTICLE•Medical Care•2019•References: 38

    BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodol…

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  • Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits

    Brian W Patterson, Collin J Engstrom et al.•ARTICLE•Medical Care•2019•References: 38

    BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodol…

  • The Average Effect of Emergency Department Admission on Readmission and Mortality for Older Adults With Chest Pain

    Sebastian Alejandro Alvarez Avendano, Amy L Cochran et al.•ARTICLE•Medical Care•2020•References: 51

    BACKGROUND: Many older adults (65+) present to the Emergency Department (ED) with chest pain, but do not have otherwise clear clinical indication of whether they should be admitted or discharged. This uncertainty leads to decisions that are highly variable-in addition to already being costly-which could have adverse consequences, since older adults are particularly vulnerable from hospitalization. OBJECTIVE: The objective of this study was to det…

Confidence interval (2 works) · Emergency and Acute Care Studies (2 works) · Emergency department (2 works) · Medicine (2 works) · Acute Myocardial Infarction Research (1 work) · AdaBoost (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Balance, Gait, and Falls Prevention (1 work)

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