Jenna Wiens

Computer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 25 papers. Top paper: “Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice”.

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.05.003

N/A

0.739DataRank · unranked

137 citations

Evangelos K. Oikonomou, Girish N. Nadkarni, Jessica R. Morley, Jenna Wiens, Atul Janardhan Butte +2 more

Clostridioides difficile infection surveillance in intensive care units and oncology wards using machine learning

Infection Control and Hospital Epidemiology(2023)10.1017/ice.2023.54

N/A

0.360DataRank · unranked

10 citations

Emily A. Balczewski, Micah Keidan, Jeeheh Oh, Alieysa Patel, Vincent B. Young +3 more

Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits

PLOS Global Public Health(2024)10.1371/journal.pgph.0003555

N/A

0.357DataRank · unranked

4 citations

Mark Nuppnau, Ying He, Keith E. Kocher, Thomas S. Valley, Michael W. Sjoding +2 more

Cohort discovery and risk stratification for Alzheimer's disease: an electronic health record‐based approach

Alzheimer s & Dementia Translational Research & Clinical Interventions(2020)10.1002/trc2.12035

N/A

0DataRank · unranked

28 citations

Raymond Q. Migrino, Bruno Giordani, Jenna Wiens, Donna Tjandra

‘No growth to date’? Predicting positive blood cultures in critical illness

Intensive Care Medicine(2020)10.1007/s00134-019-05917-2

N/A

0DataRank · unranked

2 citations

Jenna Wiens, Vincent X. Liu

Machine learning models to identify patient and microbial genetic factors associated with carbapenem-resistant Klebsiella pneumoniae infection

medRxiv(2020)10.1101/2020.07.06.20147306

N/A

0DataRank · unranked

1 citations

Jennifer Han, Jenna Wiens, Ellie J. C. Goldstein, Ebbing Lautenbach, Evan S. Snitkin +1 more

Automated Brain Masking of Fetal Functional MRI with Open Data

Neuroinformatics(2021)10.1007/s12021-021-09528-5

N/A

0DataRank · unranked

46 citations

Pascal Sturmfels, Mike Angstadt, Jasmine L. Hect, Jenna Wiens, Marion I. van den Heuvel +4 more

Patient and Microbial Genomic Factors Associated with Carbapenem-Resistant Klebsiella pneumoniae Extraintestinal Colonization and Infection

mSystems(2021)10.1128/msystems.00177-21

N/A

0DataRank · unranked

37 citations

Jennifer Han, Jenna Wiens, Ellie J. C. Goldstein, Ebbing Lautenbach, Evan S. Snitkin +1 more

A Hierarchical Approach to Multi-Event Survival Analysis

Proceedings of the AAAI Conference on Artificial Intelligence(2021)10.1609/aaai.v35i1.16138

N/A

0DataRank · unranked

6 citations

Yifei He, Jenna Wiens, Donna Tjandra

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study

BMJ(2022)10.1136/bmj-2021-068576

N/A

0DataRank · unranked

62 citations

Shengpu Tang, Erkin Ötleş, Dustin McEvoy, Sameh N. Saleh, Jen J. Gong +15 more

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac030

N/A

0DataRank · unranked

35 citations

David F. Fouhey, Ella A. Kazerooni, Jenna Wiens, Michael W. Sjoding, Sarah Jabbour

Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer's disease: A retrospective cohort study at two medical centers

Alzheimer s & Dementia(2022)10.1002/alz.12676

N/A

0DataRank · unranked

11 citations

Raymond Q. Migrino, Bruno Giordani, Jenna Wiens, Donna Tjandra

AI models in health care are not colour blind and we should not be either

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00092-9

N/A

0DataRank · unranked

11 citations

Melissa Creary, Michael W. Sjoding, Jenna Wiens

Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration

PLoS ONE(2022)10.1371/journal.pone.0263922

N/A

0DataRank · unranked

7 citations

Sarah Jabbour, Adrian V. Dalca, John Guttag, Jenna Wiens, Michael W. Sjoding +1 more

Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers

Infection Control and Hospital Epidemiology(2022)10.1017/ice.2022.218

N/A

0DataRank · unranked

5 citations

Erkin Ötleş, Jeeheh Oh, Krishna Rao, Vincent B. Young, Benjamin Y. Li +7 more

Machine learning classification by fitting amplicon sequences to existing OTUs

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.01.506299

N/A

0DataRank · unranked

0 citations

Kelly L. Sovacool, William L. Close, Begüm D. Topçuoğlu, Jenna Wiens, Patrick D. Schloss +1 more

Machine learning classification by fitting amplicon sequences to existing OTUs

mSphere(2023)10.1128/msphere.00336-23

N/A

0DataRank · unranked

5 citations

Kelly L. Sovacool, William L. Close, Begüm D. Topçuoğlu, Jenna Wiens, Patrick D. Schloss +1 more

Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

arXiv (Cornell University)(2023)10.48550/arxiv.2305.01738

N/A

0DataRank · unranked

4 citations

Maggie Makar, Michael W. Sjoding, Finale Doshi-Velez, Jenna Wiens, Shengpu Tang

Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance

arXiv (Cornell University)(2023)10.48550/arxiv.2308.05619

N/A

0DataRank · unranked

0 citations

Brian T. Denton, Jenna Wiens, Erkin Ötleş

Summertime for Cardiovascular AI

Circulation Cardiovascular Quality and Outcomes(2024)10.1161/circoutcomes.123.010404

N/A

0DataRank · unranked

4 citations

Jenna Wiens, Rohan Khera

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

PubMed(2024)10.48550/arxiv.2406.18865

N/A

0DataRank · unranked

0 citations

Jenna Wiens, Trenton Chang

CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation

arXiv (Cornell University)(2024)10.48550/arxiv.2412.08052

N/A

0DataRank · unranked

0 citations

Shengpu Tang, Jiayu Yao, Jenna Wiens, Barbara E. Engelhardt, Aishwarya Mandyam

Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf036

N/A

0DataRank · unranked

1 citations

Donna Tjandra, Thomas S. Valley, Hallie C. Prescott, Nigam H. Shah, Vincent X. Liu +3 more

A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems

mBio(2020)10.1128/mbio.00434-20

N/A

0DataRank · unranked

265 citations

Nicholas A. Lesniak, Mack T. Ruffin, Jenna Wiens, Patrick D. Schloss, Begüm D. Topçuoğlu

Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19

Annals of the American Thoracic Society(2020)10.1513/annalsats.202006-698oc

N/A

0DataRank · unranked

103 citations

Thomas S. Valley, Shengpu Tang, Benjamin Y. Li, Fahad Kamran, Michael W. Sjoding +10 more