Connection

George Hripcsak to Models, Statistical

This is a "connection" page, showing publications George Hripcsak has written about Models, Statistical.
Connection Strength

0.559
  1. Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk. J Biomed Inform. 2017 Dec; 76:9-18.
    View in: PubMed
    Score: 0.201
  2. Comparing lagged linear correlation, lagged regression, Granger causality, and vector autoregression for uncovering associations in EHR data. AMIA Annu Symp Proc. 2016; 2016:779-788.
    View in: PubMed
    Score: 0.191
  3. Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J Am Med Inform Assoc. 2021 07 14; 28(7):1480-1488.
    View in: PubMed
    Score: 0.065
  4. EHR-based phenotyping: Bulk learning and evaluation. J Biomed Inform. 2017 06; 70:35-51.
    View in: PubMed
    Score: 0.048
  5. Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations. PLoS One. 2014; 9(6):e96443.
    View in: PubMed
    Score: 0.040
  6. PheValuator: Development and evaluation of a phenotype algorithm evaluator. J Biomed Inform. 2019 09; 97:103258.
    View in: PubMed
    Score: 0.014
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.