Connection

JESSICA DAVILA to Algorithms

This is a "connection" page, showing publications JESSICA DAVILA has written about Algorithms.
Connection Strength

0.344
  1. Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing. Med Care. 2016 Feb; 54(2):e9-14.
    View in: PubMed
    Score: 0.074
  2. The Updated Model: An Adjusted Serum Alpha-Fetoprotein-Based Algorithm for Hepatocellular Carcinoma Detection With Hepatitis C Virus-Related Cirrhosis. Gastroenterology. 2015 Dec; 149(7):1986-7.
    View in: PubMed
    Score: 0.072
  3. A new laboratory-based algorithm to predict development of hepatocellular carcinoma in patients with hepatitis C and cirrhosis. Gastroenterology. 2014 May; 146(5):1249-55.e1.
    View in: PubMed
    Score: 0.064
  4. Surveillance for hepatocellular carcinoma: development and validation of an algorithm to classify tests in administrative and laboratory data. Dig Dis Sci. 2010 Nov; 55(11):3241-51.
    View in: PubMed
    Score: 0.051
  5. Validation of the Updated Hepatocellular Carcinoma Early Detection Screening Algorithm in a Community-Based Cohort of Patients With Cirrhosis of Multiple Etiologies. Clin Gastroenterol Hepatol. 2021 07; 19(7):1443-1450.e6.
    View in: PubMed
    Score: 0.025
  6. Validation of the Hepatocellular Carcinoma Early Detection Screening (HES) Algorithm in a Cohort of Veterans With Cirrhosis. Clin Gastroenterol Hepatol. 2019 08; 17(9):1886-1893.e5.
    View in: PubMed
    Score: 0.022
  7. Evaluating screening approaches for hepatocellular carcinoma in a cohort of HCV related cirrhosis patients from the Veteran's Affairs Health Care System. BMC Med Res Methodol. 2018 01 04; 18(1):1.
    View in: PubMed
    Score: 0.021
  8. Differentiation of ileostomy from colostomy procedures: assessing the accuracy of current procedural terminology codes and the utility of natural language processing. Surgery. 2013 Aug; 154(2):411-7.
    View in: PubMed
    Score: 0.015
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.