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Author Details
Full Name
Jenna Wiens
Affiliation
University of Michigan College of Engineering ann arbor
ORCID
Career Start Year
2011
Papers
49
H Index
17
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36120815
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centers.
Infect Control Hosp Epidemiol
2023
37615431
Machine learning classification by fitting amplicon sequences to existing OTUs.
mSphere
2023
37088695
<i>Clostridioides difficile</i> infection surveillance in intensive care units and oncology wards using machine learning.
Infect Control Hosp Epidemiol
2023
36533309
Prospective evaluation of data-driven models to predict daily risk of <i>Clostridioides difficile</i> infection at 2 large academic health centers - ERRATUM.
Infect Control Hosp Epidemiol
2023
36865709
Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III).
Antimicrob Steward Healthc Epidemiol
2023
36865708
The future of automated infection detection: Innovation to transform practice (Part III/III).
Antimicrob Steward Healthc Epidemiol
2023
34129169
Automated Brain Masking of Fetal Functional MRI with Open Data.
Neuroinformatics
2022
35429343
Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer's disease: A retrospective cohort study at two medical centers.
Alzheimers Dement
2022
35568691
AI models in health care are not colour blind and we should not be either.
Lancet Digit Health
2022
35681015
AMAISE: a machine learning approach to index-free sequence enrichment.
Commun Biol
2022
37152303
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning.
Proc Mach Learn Res
2022
36456966
Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection.
J Neuroeng Rehabil
2022
33853374
Association Between Management of Continuous Subcutaneous Basal Insulin Administration and HbA1C.
J Diabetes Sci Technol
2022
35177406
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
BMJ
2022
35271711
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure.
J Am Med Inform Assoc
2022
35167608
Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration.
PLoS One
2022
33357088
Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19.
Ann Am Thorac Soc
2021
35702420
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings.
Proc Mach Learn Res
2021
33820654
Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.
Am J Surg
2021
33727393
Patient and Microbial Genomic Factors Associated with Carbapenem-Resistant Klebsiella pneumoniae Extraintestinal Colonization and Infection.
mSystems
2021
34871076
Respecting Autonomy And Enabling Diversity: The Effect Of Eligibility And Enrollment On Research Data Demographics.
Health Aff (Millwood)
2021
34414351
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines.
J Open Source Softw
2021
34300399
Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units.
Sensors (Basel)
2021
34210068
Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes.
Sensors (Basel)
2021
34256799
Automatically evaluating balance using machine learning and data from a single inertial measurement unit.
J Neuroeng Rehabil
2021
32511650
Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients.
medRxiv
2020
32083957
Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records.
JCO Clin Cancer Inform
2020
31965265
'No growth to date'? Predicting positive blood cultures in critical illness.
Intensive Care Med
2020
31932798
Diagnosing bias in data-driven algorithms for healthcare.
Nat Med
2020
33040151
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.
J Am Med Inform Assoc
2020
32711010
Development and Validation of a Deep-learning Model to Assist With Renal Cell Carcinoma Histopathologic Interpretation.
Urology
2020
32548236
Cohort discovery and risk stratification for Alzheimer's disease: an electronic health record-based approach.
Alzheimers Dement (N Y)
2020
32518182
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems.
mBio
2020
30624218
Automatically Evaluating Balance: A Machine Learning Approach.
IEEE Trans Neural Syst Rehabil Eng
2019
33323266
Turning the crank for machine learning: ease, at what expense?
Lancet Digit Health
2019
31427808
Do no harm: a roadmap for responsible machine learning for health care.
Nat Med
2019
31537911
Author Correction: Do no harm: a roadmap for responsible machine learning for health care.
Nat Med
2019
31192367
The number needed to benefit: estimating the value of predictive analytics in healthcare.
J Am Med Inform Assoc
2019
30921400
Machine learning for patient risk stratification for acute respiratory distress syndrome.
PLoS One
2019
31139672
Using Machine Learning and the Electronic Health Record to Predict Complicated <i>Clostridium difficile</i> Infection.
Open Forum Infect Dis
2019
29020316
Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology.
Clin Infect Dis
2018
29854227
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale.
AMIA Annu Symp Proc
2018
29985285
Striking the Right Balance-Applying Machine Learning to Pediatric Critical Care Data.
Pediatr Crit Care Med
2018
30456290
Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers.
Alzheimers Dement (Amst)
2018
29576042
A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers.
Infect Control Hosp Epidemiol
2018
29479546
Potential Adverse Effects of Broad-Spectrum Antimicrobial Exposure in the Intensive Care Unit.
Open Forum Infect Dis
2017
24481703
A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions.
J Am Med Inform Assoc
2014
25734117
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile.
Open Forum Infect Dis
2014
22255676
Patient-specific ventricular beat classification without patient-specific expert knowledge: a transfer learning approach.
Annu Int Conf IEEE Eng Med Biol Soc
2011
1 - 49 of 49
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Massachusetts General Hospital
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Katherine Heller
Duke University
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Finale Doshi-Velez
Harvard University
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Robert P Dickson
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