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Shawn Norman Murphy, M.D., Ph.D.

Co-Author

This page shows the publications co-authored by Shawn Murphy and Hossein Estiri.
Connection Strength

12.450
  1. An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. J Am Med Inform Assoc. 2022 07 12; 29(8):1334-1341.
    View in: PubMed
    Score: 0.984
  2. Evolving phenotypes of non-hospitalized patients that indicate long COVID. BMC Med. 2021 09 27; 19(1):249.
    View in: PubMed
    Score: 0.932
  3. Evolving Phenotypes of non-hospitalized Patients that Indicate Long Covid. medRxiv. 2021 Jul 10.
    View in: PubMed
    Score: 0.918
  4. High-throughput phenotyping with temporal sequences. J Am Med Inform Assoc. 2021 03 18; 28(4):772-781.
    View in: PubMed
    Score: 0.898
  5. Individualized prediction of COVID-19 adverse outcomes with MLHO. Sci Rep. 2021 03 05; 11(1):5322.
    View in: PubMed
    Score: 0.896
  6. Generative transfer learning for measuring plausibility of EHR diagnosis records. J Am Med Inform Assoc. 2021 03 01; 28(3):559-568.
    View in: PubMed
    Score: 0.895
  7. Predicting COVID-19 mortality with electronic medical records. NPJ Digit Med. 2021 Feb 04; 4(1):15.
    View in: PubMed
    Score: 0.891
  8. Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. Patterns (N Y). 2020 Jul 10; 1(4):100051.
    View in: PubMed
    Score: 0.853
  9. A clustering approach for detecting implausible observation values in electronic health records data. BMC Med Inform Decis Mak. 2019 07 23; 19(1):142.
    View in: PubMed
    Score: 0.801
  10. A federated EHR network data completeness tracking system. J Am Med Inform Assoc. 2019 07 01; 26(7):637-645.
    View in: PubMed
    Score: 0.798
  11. Semi-supervised encoding for outlier detection in clinical observation data. Comput Methods Programs Biomed. 2019 Nov; 181:104830.
    View in: PubMed
    Score: 0.772
  12. Informatics can help providers incorporate context into care. JAMIA Open. 2018 Jul; 1(1):3-6.
    View in: PubMed
    Score: 0.743
  13. Exploring completeness in clinical data research networks with DQe-c. J Am Med Inform Assoc. 2018 01 01; 25(1):17-24.
    View in: PubMed
    Score: 0.719
  14. Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study. J Med Internet Res. 2022 05 18; 24(5):e37931.
    View in: PubMed
    Score: 0.243
  15. Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National EHR Research Consortium Study. medRxiv. 2022 Feb 18.
    View in: PubMed
    Score: 0.239
  16. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.
    View in: PubMed
    Score: 0.230
  17. Polar labeling: silver standard algorithm for training disease classifiers. Bioinformatics. 2020 05 01; 36(10):3200-3206.
    View in: PubMed
    Score: 0.211
  18. Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud. AMIA Jt Summits Transl Sci Proc. 2018; 2017:176-185.
    View in: PubMed
    Score: 0.185
  19. International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. NPJ Digit Med. 2022 Jun 29; 5(1):81.
    View in: PubMed
    Score: 0.061
  20. Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2. BMJ Open. 2022 06 23; 12(6):e057725.
    View in: PubMed
    Score: 0.061
  21. Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 Nov 30; 23(11):e34625.
    View in: PubMed
    Score: 0.059
  22. International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 10 11; 23(10):e31400.
    View in: PubMed
    Score: 0.058
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.