| Year |
Citation |
Score |
| 2023 |
Wang J, Jabbour S, Makar M, Sjoding M, Wiens J. Learning Concept Credible Models for Mitigating Shortcuts. Advances in Neural Information Processing Systems. 35: 33343-33356. PMID 38149289 |
0.697 |
|
| 2023 |
Jabbour S, Fouhey D, Shepard S, Valley TS, Kazerooni EA, Banovic N, Wiens J, Sjoding MW. Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study. Jama. 330: 2275-2284. PMID 38112814 DOI: 10.1001/jama.2023.22295 |
0.58 |
|
| 2023 |
Armour CR, Sovacool KL, Close WL, Topçuoğlu BD, Wiens J, Schloss PD. Machine learning classification by fitting amplicon sequences to existing OTUs. Msphere. e0033623. PMID 37615431 DOI: 10.1128/msphere.00336-23 |
0.308 |
|
| 2023 |
Ötleş E, Balczewski EA, Keidan M, Oh J, Patel A, Young VB, Rao K, Wiens J. infection surveillance in intensive care units and oncology wards using machine learning. Infection Control and Hospital Epidemiology. 1-6. PMID 37088695 DOI: 10.1017/ice.2023.54 |
0.325 |
|
| 2022 |
Jabbour S, Fouhey D, Kazerooni E, Wiens J, Sjoding MW. 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 : Jamia. PMID 35271711 DOI: 10.1093/jamia/ocac030 |
0.58 |
|
| 2022 |
Kamran F, Tang S, Otles E, McEvoy DS, Saleh SN, Gong J, Li BY, Dutta S, Liu X, Medford RJ, Valley TS, West LR, Singh K, Blumberg S, Donnelly JP, ... ... Wiens J, et al. Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study. Bmj (Clinical Research Ed.). 376: e068576. PMID 35177406 DOI: 10.1136/bmj-2021-068576 |
0.477 |
|
| 2022 |
Mu E, Jabbour S, Dalca AV, Guttag J, Wiens J, Sjoding MW. Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration. Plos One. 17: e0263922. PMID 35167608 DOI: 10.1371/journal.pone.0263922 |
0.719 |
|
| 2022 |
Spector-Bagdady K, Tang S, Jabbour S, Price WN, Bracic A, Creary MS, Kheterpal S, Brummett CM, Wiens J. Respecting Autonomy And Enabling Diversity: The Effect Of Eligibility And Enrollment On Research Data Demographics. Health Affairs (Project Hope). 40: 1892-1899. PMID 34871076 DOI: 10.1377/hlthaff.2021.01197 |
0.699 |
|
| 2021 |
Lapp Z, Han JH, Wiens J, Goldstein EJC, Lautenbach E, Snitkin ES. Patient and Microbial Genomic Factors Associated with Carbapenem-Resistant Klebsiella pneumoniae Extraintestinal Colonization and Infection. Msystems. 6. PMID 33727393 DOI: 10.1128/mSystems.00177-21 |
0.302 |
|
| 2020 |
Singh K, Valley TS, Tang S, Li BY, Kamran F, Sjoding MW, Wiens J, Otles E, Donnelly JP, Wei MY, McBride JP, Cao J, Penoza C, Ayanian JZ, Nallamothu BK. Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized COVID-19 Patients. Annals of the American Thoracic Society. PMID 33357088 DOI: 10.1513/AnnalsATS.202006-698OC |
0.37 |
|
| 2020 |
Topçuoğlu BD, Lesniak NA, Ruffin MT, Wiens J, Schloss PD. A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems. Mbio. 11. PMID 32518182 DOI: 10.1128/Mbio.00434-20 |
0.304 |
|
| 2020 |
Singh K, Valley TS, Tang S, Li BY, Kamran F, Sjoding MW, Wiens J, Otles E, Donnelly JP, Wei MY, McBride JP, Cao J, Penoza C, Ayanian JZ, Nallamothu BK. Validating a Widely Implemented Deterioration Index Model Among Hospitalized COVID-19 Patients. Medrxiv : the Preprint Server For Health Sciences. PMID 32511650 DOI: 10.1101/2020.04.24.20079012 |
0.359 |
|
| 2018 |
Oh J, Makar M, Fusco C, McCaffrey R, Rao K, Ryan EE, Washer L, West LR, Young VB, Guttag J, Hooper DC, Shenoy ES, Wiens J. A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers. Infection Control and Hospital Epidemiology. 39: 425-433. PMID 29576042 DOI: 10.1017/Ice.2018.16 |
0.434 |
|
| 2017 |
Sherman E, Gurm H, Balis U, Owens S, Wiens J. Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale. Amia ... Annual Symposium Proceedings. Amia Symposium. 2017: 1571-1580. PMID 29854227 |
0.324 |
|
| 2014 |
Wiens J, Guttag J, Horvitz E. A study in transfer learning: Leveraging data from multiple hospitals to enhance hospital-specific predictions Journal of the American Medical Informatics Association. 21: 699-706. PMID 24481703 DOI: 10.1136/Amiajnl-2013-002162 |
0.38 |
|
| 2011 |
Wiens J, Guttag JV. Patient-specific ventricular beat classification without patient-specific expert knowledge: a transfer learning approach. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 5876-9. PMID 22255676 DOI: 10.1109/IEMBS.2011.6091453 |
0.336 |
|
| Show low-probability matches. |