Connection

FASIHA KANWAL to Databases, Factual

This is a "connection" page, showing publications FASIHA KANWAL has written about Databases, Factual.
Connection Strength

0.769
  1. Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing. Dig Dis Sci. 2017 10; 62(10):2713-2718.
    View in: PubMed
    Score: 0.383
  2. Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality. JAMA Netw Open. 2020 11 02; 3(11):e2023780.
    View in: PubMed
    Score: 0.119
  3. Nonalcoholic fatty liver disease (NAFLD) in the Veterans Administration population: development and validation of an algorithm for NAFLD using automated data. Aliment Pharmacol Ther. 2014 Oct; 40(8):949-54.
    View in: PubMed
    Score: 0.078
  4. Nonalcoholic fatty liver disease is underrecognized in the primary care setting. Am J Gastroenterol. 2015 Jan; 110(1):10-4.
    View in: PubMed
    Score: 0.076
  5. Potentially curative treatment in patients with hepatocellular cancer--results from the liver cancer research network. Aliment Pharmacol Ther. 2012 Aug; 36(3):257-65.
    View in: PubMed
    Score: 0.067
  6. Significant improvements, but consistent disparities in survival for African Americans after liver transplantation. Clin Transplant. 2022 06; 36(6):e14646.
    View in: PubMed
    Score: 0.033
  7. Viral RNA testing in hepatitis C antibody-positive veterans. Am J Prev Med. 2009 Mar; 36(3):235-8.
    View in: PubMed
    Score: 0.013
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.