Search Results - "Jenna Wiens"

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  1. 1

    A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems by Topçuoğlu, Begüm D, Lesniak, Nicholas A, Ruffin, 4th, Mack T, Wiens, Jenna, Schloss, Patrick D

    Published in mBio (09-06-2020)
    “…Machine learning (ML) modeling of the human microbiome has the potential to identify microbial biomarkers and aid in the diagnosis of many diseases such as…”
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    Journal Article
  2. 2

    Machine learning for patient risk stratification for acute respiratory distress syndrome by Zeiberg, Daniel, Prahlad, Tejas, Nallamothu, Brahmajee K, Iwashyna, Theodore J, Wiens, Jenna, Sjoding, Michael W

    Published in PloS one (28-03-2019)
    “…Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance-limiting their…”
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  3. 3

    Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration by Mu, Emily, Jabbour, Sarah, Dalca, Adrian V, Guttag, John, Wiens, Jenna, Sjoding, Michael W

    Published in PloS one (15-02-2022)
    “…When hospitals are at capacity, accurate deterioration indices could help identify low-risk patients as potential candidates for home care programs and…”
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    Journal Article
  4. 4

    Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection by Jabri, Safa, Carender, Wendy, Wiens, Jenna, Sienko, Kathleen H

    “…Vestibular deficits can impair an individual's ability to maintain postural and/or gaze stability. Characterizing gait abnormalities among individuals affected…”
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  5. 5

    Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes by Kamran, Fahad, Le, Victor C., Frischknecht, Adam, Wiens, Jenna, Sienko, Kathleen H.

    Published in Sensors (Basel, Switzerland) (29-06-2021)
    “…Dehydration beyond 2% bodyweight loss should be monitored to reduce the risk of heat-related injuries during exercise. However, assessments of hydration in…”
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    Automatically evaluating balance using machine learning and data from a single inertial measurement unit by Kamran, Fahad, Harrold, Kathryn, Zwier, Jonathan, Carender, Wendy, Bao, Tian, Sienko, Kathleen H, Wiens, Jenna

    “…Abstract Background Recently, machine learning techniques have been applied to data collected from inertial measurement units to automatically assess balance,…”
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    Journal Article
  8. 8

    The future of automated infection detection: Innovation to transform practice (Part III/III) by Branch-Elliman, Westyn, Sundermann, Alexander J, Wiens, Jenna, Shenoy, Erica S

    “…Current methods of emergency-room-based syndromic surveillance were insufficient to detect early community spread of severe acute respiratory coronavirus virus…”
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  9. 9

    Predicting 5‐year dementia conversion in veterans with mild cognitive impairment by Irwin, Chase, Tjandra, Donna, Hu, Chengcheng, Aggarwal, Vinod, Lienau, Amanda, Giordani, Bruno, Wiens, Jenna, Migrino, Raymond Q.

    “…INTRODUCTION Identifying mild cognitive impairment (MCI) patients at risk for dementia could facilitate early interventions. Using electronic health records…”
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  10. 10

    Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III) by Branch-Elliman, Westyn, Sundermann, Alexander J, Wiens, Jenna, Shenoy, Erica S

    “…The rich and complex electronic health record presents promise for expanding infection detection beyond currently covered settings of care. Here, we review the…”
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    Cohort discovery and risk stratification for Alzheimer's disease: an electronic health record‐based approach by Tjandra, Donna, Migrino, Raymond Q., Giordani, Bruno, Wiens, Jenna

    “…Background We sought to leverage data routinely collected in electronic health records (EHRs), with the goal of developing patient risk stratification tools…”
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  12. 12

    Patient and Microbial Genomic Factors Associated with Carbapenem-Resistant Klebsiella pneumoniae Extraintestinal Colonization and Infection by Lapp, Zena, Han, Jennifer H, Wiens, Jenna, Goldstein, Ellie J C, Lautenbach, Ebbing, Snitkin, Evan S

    Published in mSystems (16-03-2021)
    “…Carbapenem-resistant (CRKP) is a critical-priority antibiotic resistance threat that has emerged over the past several decades, spread across the globe, and…”
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  13. 13

    Machine learning classification by fitting amplicon sequences to existing OTUs by Armour, Courtney R, Sovacool, Kelly L, Close, William L, Topçuoğlu, Begüm D, Wiens, Jenna, Schloss, Patrick D

    Published in mSphere (24-10-2023)
    “…The ability to use 16S rRNA gene sequence data to train machine learning classification models offers the opportunity to diagnose patients based on the…”
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  14. 14

    Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits by Chang, Trenton, Nuppnau, Mark, He, Ying, Kocher, Keith E, Valley, Thomas S, Sjoding, Michael W, Wiens, Jenna

    Published in PLOS global public health (2024)
    “…AI models are often trained using available laboratory test results. Racial differences in laboratory testing may bias AI models for clinical decision support,…”
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    Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers by Goyal, Devendra, Tjandra, Donna, Migrino, Raymond Q., Giordani, Bruno, Syed, Zeeshan, Wiens, Jenna

    “…Models characterizing intermediate disease stages of Alzheimer's disease (AD) are needed to inform clinical care and prognosis. Current models, however, use…”
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  16. 16

    AMAISE: a machine learning approach to index-free sequence enrichment by Krishnamoorthy, Meera, Ranjan, Piyush, Erb-Downward, John R., Dickson, Robert P., Wiens, Jenna

    Published in Communications biology (09-06-2022)
    “…Metagenomics holds potential to improve clinical diagnostics of infectious diseases, but DNA from clinical specimens is often dominated by host-derived…”
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  17. 17

    Patient and Microbial Genomic Factors Associated with Carbapenem-Resistant Klebsiella pneumoniae Extraintestinal Colonization and Infection by Lapp, Zena, Han, Jennifer H., Wiens, Jenna, Goldstein, Ellie J. C., Lautenbach, Ebbing, Snitkin, Evan S.

    Published in mSystems (01-04-2021)
    “…Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a critical-priority antibiotic resistance threat that has emerged over the past several decades, spread…”
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    Journal Article
  18. 18

    Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology by Wiens, Jenna, Shenoy, Erica S

    Published in Clinical infectious diseases (06-01-2018)
    “…The increasing availability of electronic health data presents a major opportunity in healthcare for both discovery and practical applications to improve…”
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    Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care by Wiens, Jenna, Spector-Bagdady, Kayte, Mukherjee, Bhramar

    “…Significant progress has been made in augmenting clinical decision-making using artificial intelligence (AI) in the context of secondary and tertiary care at…”
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