Harvard Catalyst Profiles

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Peter Szolovits, Ph.D.

Co-Author

This page shows the publications co-authored by Peter Szolovits and Ashwin Ananthakrishnan.
Connection Strength

1.612
  1. Higher plasma vitamin D is associated with reduced risk of Clostridium difficile infection in patients with inflammatory bowel diseases. Aliment Pharmacol Ther. 2014 May; 39(10):1136-42.
    View in: PubMed
    Score: 0.147
  2. Thromboprophylaxis is associated with reduced post-hospitalization venous thromboembolic events in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol. 2014 Nov; 12(11):1905-10.
    View in: PubMed
    Score: 0.147
  3. Mortality and extraintestinal cancers in patients with primary sclerosing cholangitis and inflammatory bowel disease. J Crohns Colitis. 2014 Sep; 8(9):956-63.
    View in: PubMed
    Score: 0.146
  4. Serum inflammatory markers and risk of colorectal cancer in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol. 2014 Aug; 12(8):1342-8.e1.
    View in: PubMed
    Score: 0.145
  5. Association between reduced plasma 25-hydroxy vitamin D and increased risk of cancer in patients with inflammatory bowel diseases. Clin Gastroenterol Hepatol. 2014 May; 12(5):821-7.
    View in: PubMed
    Score: 0.143
  6. Normalization of plasma 25-hydroxy vitamin D is associated with reduced risk of surgery in Crohn's disease. Inflamm Bowel Dis. 2013 Aug; 19(9):1921-7.
    View in: PubMed
    Score: 0.140
  7. Improving case definition of Crohn's disease and ulcerative colitis in electronic medical records using natural language processing: a novel informatics approach. Inflamm Bowel Dis. 2013 Jun; 19(7):1411-20.
    View in: PubMed
    Score: 0.139
  8. Similar risk of depression and anxiety following surgery or hospitalization for Crohn's disease and ulcerative colitis. Am J Gastroenterol. 2013 Apr; 108(4):594-601.
    View in: PubMed
    Score: 0.135
  9. Psychiatric co-morbidity is associated with increased risk of surgery in Crohn's disease. Aliment Pharmacol Ther. 2013 Feb; 37(4):445-54.
    View in: PubMed
    Score: 0.135
  10. High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP). Nat Protoc. 2019 12; 14(12):3426-3444.
    View in: PubMed
    Score: 0.054
  11. Enabling phenotypic big data with PheNorm. J Am Med Inform Assoc. 2018 01 01; 25(1):54-60.
    View in: PubMed
    Score: 0.048
  12. Surrogate-assisted feature extraction for high-throughput phenotyping. J Am Med Inform Assoc. 2017 Apr 01; 24(e1):e143-e149.
    View in: PubMed
    Score: 0.045
  13. Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts. PLoS One. 2015; 10(8):e0136651.
    View in: PubMed
    Score: 0.041
  14. Development of phenotype algorithms using electronic medical records and incorporating natural language processing. BMJ. 2015 Apr 24; 350:h1885.
    View in: PubMed
    Score: 0.040
  15. Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records. Hum Genet. 2014 Nov; 133(11):1369-82.
    View in: PubMed
    Score: 0.038
  16. Modeling disease severity in multiple sclerosis using electronic health records. PLoS One. 2013; 8(11):e78927.
    View in: PubMed
    Score: 0.036
  17. Association between low density lipoprotein and rheumatoid arthritis genetic factors with low density lipoprotein levels in rheumatoid arthritis and non-rheumatoid arthritis controls. Ann Rheum Dis. 2014 Jun; 73(6):1170-5.
    View in: PubMed
    Score: 0.035
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.